Graphing inequalities calculator

All things graphing calculator

2013.04.13 17:06 All things graphing calculator

Do you own, operate, or otherwise employ some graphing calculator? Do you have questions about using or getting the most out of your calculator? This subreddit is for you!
[link]


2013.11.26 17:53 /r/Desmos: your place to share graphs made using Desmos

A subreddit dedicated to sharing graphs created using the Desmos graphing calculator. Feel free to post demonstrations of interesting mathematical phenomena, questions about what is happening in a graph, or just cool things you've found while playing with the calculator.
[link]


2019.11.15 21:56 hatofluck Graphing Problems

Help for all your Desmos Graphing Calculator Problems
[link]


2024.05.19 03:01 WeFIRE An Official Intro to the WeFIRE app

An Official Intro to the WeFIRE app
Hello OurFIRE!
Now that the WeFIRE app is publicly available, we figured it was about time we formally went over the main features and functions of our app.
WeFIRE was conceived with the goal to empower financial independence. With the present lack of proper social security, we believe that everyone should take the matter of retirement and financial management in their own hands. The advent of Large Language Models (LLMs) came at the perfect time to help us achieve this vision. We pictured an AI personal financial assistant, capable of offering sound financial advice wherever and whenever.
WeFIRE currently has:
  • The capacity to link your accounts using Plaid in Canada and the US
  • In-depth charts and graphs to visually display your cashflow and net worth across time
  • The AI AskCopilot, capable of taking inquiries and generating summaries with illustrative tables and charts. It's particularly adept at handling complicated sorting requests. For example,
    • What is my Walmart spending month by month this year?
https://preview.redd.it/xdo7hqiq061d1.png?width=818&format=png&auto=webp&s=2577c3b2889e9b3bcc27b3e7b223223dfe3c5a40
  • Can you please review my transactions for this year to identify any suspicious charges?
https://preview.redd.it/1vib39vr061d1.png?width=1440&format=png&auto=webp&s=7c8b488cbfa6f02479782de1f9a9e20b605b4acf
  • Notifications on your homepage that pings you with automatic budget tips and alerts based on trends from across your account
https://preview.redd.it/s26we0py061d1.png?width=1170&format=png&auto=webp&s=de93ace0e225baf12da037e27f5485738c2dc38d
  • Automatic calculation of your FIRE number and FIRE success rate based on your financial details (either through manual input or by linking your accounts) and your desired FIRE age
  • A learn tab with a variety of videos and articles
We are currently working on:
  • A desktop version of our app
  • Fixing bugs! If you find one, please do report it on this subreddit!
  • The loading and processing speed of the app
  • Account connectivity for more countries and non-USD currency compatibility
  • Improving and updating the AskCopilot's responses
Security and AI
We fully understand that your personal finance information is extremely sensitive, which is why we will treat it with the utmost care. Our systems are a read-only interface via Plaid and we otherwise have no access to your accounts. Should you wish to delete your account, all your information will be completely wiped from our systems.
As our company's goal is to empower financial independence, we strive to provide our users with financial guidance that is as sound and as unbiased as possible. Of course, this means we will NOT sell your data, and we will NOT push any financial products. WeFIRE is our main product, all our revenue comes from your subscriptions, and nothing else.
Although WeFIRE is officially available for download and purchase, it remains in a constant state of improvement and evolution. We are always striving to make the app better and more suited to your needs, so this section of the post will be regularly updated as significant changes are made.
If you have any questions or feature requests about the app that's too short for a post, please drop them here or DM me directly!
submitted by WeFIRE to OurFIRE [link] [comments]


2024.05.19 01:46 Yarukiless-cat Help for physics simulation

https://www.desmos.com/calculatovvvnagdzlx
I made a graph that simulate a simple spring movement but it has an error and this error gets bigger as time passes. In other words, the spring amplitude gets larger and larger, which is not I intend. Though by slowing the time speed this issue has partially been solved, I want it to work at normal speed. Does anyone have sollutions for this problem? I appriciate any kind of help.
submitted by Yarukiless-cat to desmos [link] [comments]


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submitted by ryanmark234 to nursinghelp2024 [link] [comments]


2024.05.19 00:34 John_Smith_4724 Online Nursing Exam Help Reddit Nursing Exam Taker Reddit Nursing Class Help Reddit do my nursing Class Reddit Nursing Assignment Help Reddit Nursing Homework Helper Reddit Nursing course Help Reddit Take my Nursing Course Reddit Nursing Test Quiz Help Reddit Hire Expert Reddit

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MY MATH SUBJECTS OF EXPERTISE:
I am very knowledgeable and proficient in assisting students in a wide range of mathematics classes. I can help students complete their homework assignments and other projects get an A on quizzes, tests, and exams (including proctored assessments) answer online discussion posts write essays & papers in MLA APA Chicago format and provide general overall academic help in each math course listed below:
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ALGEBRA HELP:
CALCULUS HELP:
Paid Help from Hiraedu: If You're struggling to handle your Online Exams, Assignments or any other coursework, get help from Hiraedu and pay after the exam. Contact details for Hiraedu is: WhatsApp: +1 (213) 594-5657 OR Call: +1 727 456 9641
ATTRIBUTES THAT SET ME APART FROM OTHER TUTORS:
I CAN AID STUDENTS TAKING PROCTORED ASSESSMENTS:
I CAN VERIFY MY ACADEMIC KNOWLEDGE & SKILLS:
I HAVE PAID ACCESS TO OVER 15 STUDY-HELP WEBSITES AND MATHEMATICAL SOFTWARE:
MY AVAILABILITY & RELIABILITY:
MY EDUCATIONAL SOFTWARE OF EXPERTISE:
SCHOOLS FROM WHICH I'VE HELPED STUDENTS IN :
As of 2021, I have tutored and helped students enrolled at the following U.S. universities community colleges county & city colleges schools for-profit institutions listed below in alphabetical order:
Paid Help from Hiraedu: If You're struggling to handle your Online Exams, Assignments or any other coursework, get help from Hiraedu and pay after the exam. Contact details for Hiraedu is: WhatsApp: +1 (213) 594-5657 OR Call: +1 727 456 9641
I OFFER FLEXIBLE PAYMENT PLANS:
TUTORING AVAILABLE FOR OTHER SUBJECTS:
THE OBLIGATORY "IS THIS A SCAM?" QUESTION:
Considering the fact that you found my contact information online, it’s understandable to be skeptical regarding the legitimacy of my services. Therefore, I’m willing to do all of the following to help you feel more secure in trusting me with your academic needs:
MY REBUTTAL TO THE OBLIGATORY “IS THIS A SCAM?” QUESTION:
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Call: +1 727 456 9641
Website: hiraedu. com
Email: [info@hiraedu](mailto:info@hiraedu). com
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submitted by John_Smith_4724 to nursinghelp2024 [link] [comments]


2024.05.19 00:31 Acejokez 7 Hour Lecture?

7 Hour Lecture?
Hi everyone, has anyone seen classes has a time schedule that is 8:30am-3:10pm?
I need to take a class for the next 6 week session in the summer and this day is the only day I can do, but the time seems weird to me. The description says it's a 3 hr lecture. So anyone have experience in choosing classes like this?
https://preview.redd.it/407zqbfhh91d1.png?width=1713&format=png&auto=webp&s=3194c709d4bc28eec8e30910f1c5f3c08df1950a
submitted by Acejokez to MDC [link] [comments]


2024.05.18 23:20 RaptorAnka Dragonflight Season 4 Mythic+ spec diversity for each key level

Dragonflight Season 4 Mythic+ spec diversity for each key level submitted by RaptorAnka to CompetitiveWoW [link] [comments]


2024.05.18 23:12 _NA- Quantum entanglement and spacetime

Quantum entanglement is a phenomenon in quantum mechanics, that when two or more particles are entangled, their properties can no longer be described individually. Instead, they can be only described as an entity with wavefunction. Derived from this simultaneity, nonlocality is a principle which is used to explain the simultaneity of quantum entanglement across spacetime. It means that objects may affect simultaneous event that is not adjacent to them. Action at distance is hence possible. In this process, the information may still be unable to be transmitted faster than speed of light, as quantum entangled pair would disentangle once it is observed and the information observed would be random. Nonetheless, nonlocality might still “cannot be made to peacefully coexist with special relativity”. For relativity theory, spacetime is a key concept. It is the four-dimensional entity that consists of three space dimensions and the dimension of time. Every particle’s position is presented by four parameters, three for space and one of time. The relativity theory and quantum mechanics are two fundamental theories that shape our current understanding of the physical world, yet they are not perfectly consistent. I've found some viable connections between spacetime and quantum entanglement, a field that has been studied in the last few decades, when some potential structures are found that can be used to describe the relation. Studies suggest that quantum entanglement is not the mere connection between different particles, but the connection of the degree of freedom of the spacetime where they are located. What is more, the connection between spacetime and quantum entanglement can draw a larger picture: a universe which is fabricated by entangled spacetimes. The concept of quantum entanglement originates from the famous EPR paradox, come up by Einstein, Podolsky, and Rosen. A quantum entangled particle pair can be only described with the same wave function, so their behaviors are interrelated. As one particle spins up, the other must be down. This process is immediate, so the information must be traveling with speed, greater than the speed of light if the behaviors of particles are at random. This odd property makes Einstein and the other two physicists draw the conclusion that there must be some hidden variables controlling their performance. Their conclusion is rooted in a simple idea: principle of locality. Principle of locality is that an object can only pass the influence of forces continuously through either field or space. This principle, nonetheless, had been disproved by the test of Bell’s inequality. If that energy/matter and information cannot be transmitted faster than speed of light is still an axiom in physics, the principle of locality must not be true. Bell’s inequality is the formula based on the assumption of hidden variable. Hidden variable means that the collapse of wavefunction does not have an action at distance among the entangled particles. Every behavior of the paired particles is predicted by hidden variables, so uncertainty is not required in this theory. Therefore, the transmission of information is local since there is no action at distance among entangled pairs. Bell’s inequality is a property predicted by this theory. Bell’s inequality predicts behavior of entangled particles different from that of quantum mechanics based on Copenhagen’s interpretation. According to the experimental examination of this inequality, this inequality is clearly violated. Therefore, nonlocality of quantum entanglement should be the only possible explanation that preserve the principle of constancy of light speed.
Many works had been done in discovering the relation between the frame of reference and quantum entanglement. It has been verified with experiments that Bell’s inequality is still violated under Lorentz Boost. This finding suggests that the correlations between entangled particles are preserve in all frames, even in those relativistic ones. Similar studies had been performed by other scholars, who mainly studied the cases of quantum entanglement between relativistic massive particles. This finding shows that degree of violation of Bell’s inequality is dependent on the relative velocity of the particle measured with respect to the laboratory, yet particle pairs do not disentangle as they reach a certain relative speed. Therefore, the finding further confirms conservation of nonlocality in all frame of reference. Whether quantum entanglement and spacetime are related is a profound question. A study made by Mark Van Raamsdonk finds that “emergence of classically connected spacetimes is intimately related to the quantum entanglement of degrees of freedom in a non-perturbative description of quantum gravity”. The disentanglement of two separate spacetime is similar to that of two entangled particles. In fact, if two regions of spacetime is disentangled, they “pull apart” from each other. Built on the non-perturbative description of quantum gravity, this finding can be applied to spacetime of the physical world. Raamsdonk extended the discussion to some examples of gauge theory/gravity duality. He found out that “in at least some cases, classically connected spacetimes may be understood as particular quantum superpositions of disconnected spacetimes”. As distance between two regions of spacetime increases, the entanglement of degree of freedom degreases. Disentanglement of two separated regions of spacetime should be considered no longer connected. These two studies rely on the non-perturbative description of quantum gravity and the gauge theory/gravity duality. Particularly, they rely on some particular cases of gauge theory/gravity duality. Therefore, if gauge theory’s prediction in this field is proved invalid, the results would also collapse. However, since the gauge theory well predict the behavior of quantum world, these examples might also be true. Yet they need further experimental verification. The fact that quantum entanglement might form spacetime is an exciting finding. Quantum entanglement has long been considered irrelevant to relativistic theory. Typically, researchers did not treat entanglement, namely nonlocality, relevant to spacetime. These studies suggest a deep connection between two seemingly distinct physical entity, that classically continuous spacetime can be described as an extended object of quantum entanglement.
Instead of forming spacetime from quantum entanglement, there are other studies suggest that quantum entanglement can be described in terms of spacetime connection. The first study derives from the coincidence of the maximum “probability of quantum entanglement of two particles” of 9.0169945% and “exactly the golden mean ϕ to the power of five ( )”. This theory is somewhat surprising, yet it is supported with valid calculation. Its conclusion shows that quantum entanglement can be a result of complex spacetime geometry. The emergence of quantum entanglement might not solely be explained in term of quantum mechanics, which ignores the effect of spacetime geometry. In addition, it might also be intrinsically linked to the structure of spacetime. Despite its exciting result, it is based on calculation of the coincidence of probability of quantum entanglement and golden mean to the fifth power. Whether it is a superficial coincidence or profound relation would greatly influence its validity. Besides, experimental verification is still needed. If the result is proven physical meaningless, it is also not a valid theory. Nonetheless, this study still provides some insights about how to describe quantum entanglement in terms of spacetime geometry. The relation between quantum entanglement and spacetime has a more prominent meaning: quantum entangled pair can be seen as a non-traversable wormhole. Researchers “construct holographic dual of two colored quasiparticles in maximally supersymmetric Yang-Mills theory entangled in a color singlet Einstein-Podolsky-Rosen (EPR) pair”. According to their research, entanglement is “encoded in a geometry of a non-traversable wormhole”. This finding is significant because it provides connection between the strangest predictions of quantum mechanics and that of relativistic theory. Wormhole is no less strange than quantum entanglement, yet they are the result of distinct mechanism. Worm hole is the result of severe torsion of spacetime, while quantum entanglement is relation between particle pairs. Combining these two phenomena is helpful to understand the properties of spacetime. Combined together, these studies suggest a larger picture of physics study: a spacetime intrinsically linked by entanglement. From the point of view of quantum entanglement, it is the entanglement between different regions that fabricates the classic continuous spacetime. From the stance of spacetime, it is the intrinsic property of the entity itself that embodies the emergence of entanglement. A larger picture is implied by the entangled spacetime. According to the study made by Chunjun Cao, Sean M. Carroll, and Spyridon Michalakis, the spacetime itself seems to self-emerge from the entanglement. They “examined how space can emerge from an abstract quantum state in Hilbert space, and how something like Einstein’s equation is a natural consequence of this bulk emergent gravity program”. What is more, the model allows classical wormhole to emerge as a result, which deepens the relation between quantum entanglement and spacetime, since this is an unexpected feature without putting the two entities together. “Lengths and other geometric quantities are determined by entanglement”, and “gravity appears to arise from quantum mechanics in a natural way”. Self-emergence of spacetime from quantum mechanics implies a new relation between gravity and quantum mechanics. The study combined and rebuilt the previous studies from a very solid basis, so that no semiclassical backgrounds like classical may have influenced the result. The rebuilt makes the result more convincing, in that it excluded assumptions of the previous studies that might be mistaken from this one. Starting from pure quantum state instead of “quantizing classical degree of freedom”, so the construction of spacetime from quantum entanglement would not be the result of those potentially mistaken assumptions. The self-emergence of spacetime from quantum entanglement is helpful in constructing a quantum gravity theory. This is a crucial insight to our understanding of gravity, the last uncovered fundamental force in Yang-Mills theory. Described as the result of spacetime geometry in relativity theory, gravity cannot be described like other forces. For relativity theory, gravity is not a force at all, but an illusion produced by the movement of objects and the distorted geodesic of spacetime near a massive object. If the spacetime geometry can be successfully described in quantum scale, the gravity may be described in terms of quantum mechanics. With the interesting connection that is newly found, this long existing gap may be filled out. The spacetime can self-emerge from quantum entanglement, which can be explained by spacetime geometry. This shows that spacetime is closely linked by some rules of quantum mechanics. In addition, the fact that quantum entanglement might be understood as wormhole or the result of spacetime geometry also suggests quantum entanglement itself is closely related to the mechanics of spacetime, a field which can be effectively explained by relativity theory. The studies of relations between quantum entanglement and spacetime are still restrained to hypotheses, nonetheless, meaning these results might still be invalidated by experimental verification. Despite these risks, studies in this field are still noteworthy because of the provision it brings. Besides, the failure of some predictions might show false understanding of some ideas in physics, so it can also lead to a new field of research even if these results are proven incompletely correct. From the studies of quantum mechanics and relativity theory, the relation between quantum entanglement and the spacetime seems intrinsic. Derived from the known example of gauge theory/gravity duality, the continuous spacetime can be fabricated by quantum superpositions of disconnected spacetimes. This implies a potentially crucial role of quantum entanglement in spacetime. In addition, the study of space and Hilbert space shows that the quantum state naturally produces space. On the contrary, Cantorian spacetime geometry can explain quantum entanglement in context of spacetime geometry. Moreover, the study of wormhole shows that quantum entanglement can be considered as non-traversable wormhole. In conclusion, all these studies imply that quantum entanglement and space can be mutually explained. These studies lack of direct evidence from experiment. Some further researches on the field might solve this problem, so the theory can make valid predictions.
submitted by _NA- to teenagers [link] [comments]


2024.05.18 23:04 Theo-Dorable Ideologies (and their descriptions)

A list of all the ideologies (within the game files), including their descriptions. Enjoy.

Conservatism

Conservatism is a political and social philosophy promoting traditional social institutions in the context of culture and civilization. The central tenets of conservatism include tradition, human imperfection, organic society, hierarchy and authority, and property rights. Conservatives seek to preserve a range of institutions such as monarchy, religion, parliamentary government, and property rights, with the aim of emphasizing social stability and continuity.
National Conservatism National conservatism is a variant of conservatism that concentrates more on national interests and upholding cultural or ethnic identity than most other conservatives. In Europe, national conservatives are usually Eurosceptics.
Gaullism
Gaullism is a French political stance based on the thought and action of World War II French Resistance leader General Charles de Gaulle, who would become the founding President of the Fifth French Republic.
Corporatism I do not know where the description for this is. Considering corporatism doesn't exactly fit within conservatism I believe this is a mistake, but I'm including it here anyway.
Republican Party [sic]
The Republican Party is one of the two major political parties in the United States, the other being its historic rival, the Democratic Party. The party is named after republicanism, a major ideology of the American Revolution. Founded by anti-slavery activists, economic modernizers, ex-National Republicans, ex-Free Soilers and Whigs in 1854, the Republicans largely dominated politics nationally and in the majority of northern states between 1860 and 1932.
Religious Zionism Formed as a nationalist opposition and acts as the basis of the Israeli right, Revisionist Zionism envisions territorial integrity over the historical Land of Israel and supports Jewish nationalism. Revisionist Zionists believed that Jews have sovereignty over both banks of the Jordan river and its followers question the legitimacy of the Kingdom of Jordan. Currently, Revisionist Zionism is regarded as a fringe ideology but its proponents have recently began a push to make the ideology more moderate and hence more electable.
Black Conservatism Black Conservatism is a type of conservative ideology popular among Africans in both hemispheres. Individuals which would promote black conservatism would likely be advocates of free market capitalism, promotion of traditional beliefs (generally in regards to Catholic and Protestant Christianity), and Patriotism or Jingoism. Black Conservatism generally is opposed to Pan-Africanism, Socialism, and Anti-Imperialism.

Liberal Conservatism

Liberal conservatism combines conservative policies with liberal stances, especially on economic, social and ethical issues. It incorporates the classical liberal view of minimal government intervention in the economy, according to which individuals should be free to participate in the market and generate wealth without government interference. However, individuals cannot be thoroughly depended on to act responsibly in other spheres of life, therefore liberal conservatives believe that a strong state is necessary to ensure law and order and social institutions are needed to nurture a sense of duty and responsibility to the nation. They also support civil liberties, along with some social conservative positions.
Conservative Liberalism Conservative liberalism is a variant of liberalism, combining liberal values and policies with conservative stances, or simply representing the right-wing of the liberal movement. It is a more positive and less radical variant of classical liberalism.

Christian Democracy

Christian democracy is a form of conservatism and a political ideology which emerged in 19th century Europe under the influence of Catholic social teaching, as well as Neo Calvinism. It was originally conceived as a combination of traditional Catholic beliefs and modern democratic ideas, and it grew to incorporate the social teaching of other Christian denominations, such as the Lutheran Church and the Reformed Church.
Vatican [sic]
The politics of Vatican City take place in a framework of an theocratic absolute elective monarchy, in which the Pope, religiously speaking, the leader of the Roman Catholic Church and Bishop of Rome, exercises ex officio supreme legislative, executive, and judicial power over the Vatican City, a rare case of non-hereditary monarchy.

Socialism

Socialism is a range of economic and social systems characterized by social ownership and workers' self-management of the means of production as well as the political theories and movements associated with them. Social ownership may refer to forms of public, collective or cooperative ownership, or to citizen ownership of equity. There are many varieties of socialism and there is no single definition encapsulating all of them, though social ownership is the common element shared by its various forms. Socialist economic systems can be divided into non-market and market forms. Non-market socialism involves the substitution of factor markets and money, with engineering and technical criteria, based on calculation performed in-kind, thereby producing an economic mechanism that functions according to different economic laws from those of capitalism. Non-market socialism aims to circumvent the inefficiencies and crises traditionally associated with capital accumulation and the profit system. By contrast, market socialism retains the use of monetary prices, factor markets and in some cases the profit motive, with respect to the operation of socially owned enterprises and the allocation of capital goods between them. Profits generated by these firms would be controlled directly by the workforce of each firm, or accrue to society at large in the form of a social dividend. The socialist calculation debate discusses the feasibility and methods of resource allocation for a socialist system.
Democratic Socialism Democratic socialism is a political philosophy that advocates political democracy alongside social ownership of the means of production, with an emphasis on self-management and democratic management of economic institutions within a market or some form of decentralized planned socialist economy.
Market Socialism Market socialism is a type of economic system involving the public, cooperative, or social ownership of the means of production in the framework of a market economy.
Royal Socialism No information in the game files. Probably a scrapped ideology, but still here for showcase purposes.
Neocommunism Ditto to above.
African Socialism African socialism is a belief in sharing economic resources in a traditional African way, as distinct from classical socialism. Common principles of African socialism are social development guided by a large public sector, incorporating the African identity and what it means to be African, and the avoidance of the development of social classes within society.
Ujamaa The Swahili word Ujamaa means 'extended family', 'brotherhood' or 'socialism'; as a political concept it asserts that a person becomes a person through the people or community. Ujamaa was a term made popular by the political philosophy applied under Julius Nyerere's social and economic development policies in Tanzania after it gained independence from Britain in 1961.
Labor Zionism (Mapai) Labor Zionism is the left-wing of the Zionist movement. For many years, it was the most significant tendency among Zionists and Zionist organizations. It saw itself as the Zionist sector of the historic Jewish labor movements of Eastern and Central Europe, eventually developing local units in most countries with sizable Jewish populations. Labor Zionists believe that a Jewish state could only be created through the efforts of the Jewish working class settling in the Land of Israel and constructing a state through the creation of a progressive Jewish society with rural kibbutzim and moshavim and an urban Jewish proletariat.
Kemalism Kemalism is the founding ideology of the Republic of Turkey. Kemalism, as it was implemented by Mustafa Kemal Atatürk, was defined by sweeping political, social, cultural and religious reforms designed to separate the new Turkish state from its Ottoman predecessor and embrace a Westernized way of living, including the establishment of democracy, secularism, state support of the sciences and free education.
Oriental Personalism Oriental Personalism is the official ideology of Ngo Dinh Diem's Can-Lao Party in South Vietnam. Owing as much to the influence of his brother, Ngo Dinh Nhu as Diem himself, Oriental Personalism has diverse ideological influences, including Emannuel Mournier's theory of Personalism, Marxism, and the folk traditions and religions of Vietnam. The Can-Lao manifest calls for the gradual transformation of Vietnamese society through two phase. In the first phase, the Personalist Revolution, the Social and Working Classes will tear their divisions and join as one. Then comes the Social Revolution, where all forms of capitalism and colonial influence will be swept out on a triumphant march to a utopian, socialist, and proudly Vietnamese society.

Social Democracy

Social Democracy is a political, social and economic ideology that supports economic and social interventions to promote social justice within the framework of a capitalist economy, as well as a policy regime involving a commitment to representative democracy, measures for income redistribution, and regulation of the economy in the general interest and welfare state provisions.
Democratic Party [sic]
The Democratic Party is one of the two major contemporary political parties in the United States, along with the Republican Party. Tracing its heritage back to Thomas Jefferson and James Madison's Democratic-Republican Party, the modern-day Democratic Party was founded around 1828 by supporters of Andrew Jackson, making it the world's oldest active political party.
Labor Zionism Functionally the exact same as Labor Zionism (Mapai), with the same description. I have no clue why it's divided as such.

Social Liberalism

Social liberalism is a political ideology that believes individual liberty requires a level of social justice. Like classical liberalism, social liberalism endorses a market economy and the expansion of civil and political rights and liberties, but differs in that it believes the legitimate role of the government includes addressing economic and social issues such as poverty, health care, and education.

Progressivism

Progressivism is the support for or advocacy of improvement of society by reform. As a philosophy, it is based on the idea of progress, which asserts that advancements in science, technology, economic development and social organization are vital to the improvement of the human condition.
Green politics Green politics is a political ideology that aims to create an ecologically sustainable society rooted in environmentalism, nonviolence, social justice and grassroots democracy.

Centrism

Centrism is a political outlook or specific position that involves acceptance or support of a balance of a degree of social equality and a degree of social hierarchy, while opposing political changes which would result in a significant shift of society either strongly to the left or the right.

Classical Liberalism

Democracy (yes, that is the entire description)
Libertarianism Libertarianism is a collection of political philosophies and movements that uphold liberty as a core principle. Libertarians seek to maximize political freedom and autonomy, emphasizing freedom of choice, voluntary association, and individual judgment. Libertarians share a skepticism of authority and state power, but they diverge on the scope of their opposition to existing political and economic systems.
Zionism (General Zionism) Many people and parties chose not to follow any of the distinct Zionist schools of thought and chose to stick to the core ideology of Zionism, settling in Israel and the establishment of the Jewish State. Many of the parties that stick to the 'core' of Zionism are centrist parties that don't associate themselves with either the left nor the right and tend to be economically liberal.

Marxism-Leninism

Marxism-Leninism is the ideology combining Marxist socioeconomic theory and Leninist political praxis, which is the official ideology of the Union of Soviet Socialist Republics and of the Communist International. The purpose of Marxism-Leninism is the revolutionary development of a capitalist state into a socialist state, effected by the leadership of a vanguard party of professional revolutionaries from the working class.
Liberal Communism I can find no reference. I presume this refers to the like of Gorbachev.
Stalinism Stalinism is the means of governing and related policies implemented from around 1927 to 1953 by Joseph Stalin. Stalinist policies and ideas as developed in the Soviet Union included rapid industrialization, the theory of socialism in one country, a totalitarian state, collectivization of agriculture, a cult of personality and subordination of the interests of foreign communist parties to those of the Communist Party of the Soviet Union, deemed by Stalinism to be the leading vanguard party of communist revolution at the time.
Juche Juche is the official state ideology of North Korea, described by the government as Kim Il-sung's original, brilliant and revolutionary contribution to national and international thought. It postulates that the Korean masses are to act as the masters of the revolution and construction and that by becoming self-reliant and strong a nation can achieve true socialism.
Ho Chi Minh Thought Ho Chi Minh Thought is the official ideology of the Communist Party of Vietnam under the leadership of Chairman Ho Chi Minh. Though firmly Marxist-Leninist, Ho believes in a more nationalistic reintepretation of Marxism for the unique conditions of the Vietnamese revolution, even taking some influence from Sun Yat-Sen's "Three Principles of the People" and the American revolutionaries. Ho Chi Minh Thought is as proudly Vietnamese as it is Communist, and calls for a "national democratic revolution" -- a truly Vietnamese path to socialism where worker, peasant, soldier, and merchant will unite against inequality and imperialism in all its forms.

Revolutionary Socialism

Revolutionary socialism is the socialist doctrine that social revolution is necessary in order to bring about structural changes to society. More specifically, it is the view that revolution is a necessary precondition for a transition from capitalism to socialism.
Revolutionary Islamic Socialism Your guess is as good as mine.
Trotskyism Trotskyism is the theory of Marxism as advocated by Russian Leon Trotsky. Trotsky identified as an orthodox Marxist and Bolshevik-Leninist. He supported founding a vanguard party of the proletariat, proletarian internationalism and a dictatorship of the proletariat based on working class self-emancipation and mass democracy.
Sartre Thought No description given.
Anarcho-Communism Anarcho-communism is a theory of anarchism which advocates the abolition of the state, capitalism, wage labor and private property in favor of common ownership of the means of production, direct democracy and a horizontal network of workers' councils with production and consumption based on the guiding principle: From each according to his ability, to each according to his needs.
Posadism No description. Another relic.
Titoism Titoism is described as the post-World War II policies and practices associated with Josip Broz Tito during the Cold War, characterized by an opposition to the Soviet Union. It usually represents Tito's Yugoslav doctrine in Cold War international politics. It emerged with the Yugoslav Partisans' liberation of Yugoslavia independently of the Red Army, resulting in Yugoslavia being the only Eastern European country to remain socialist, but independent after World War II as well as resisting Soviet Union pressure to become a member of the Warsaw Pact.
Left-wing Military Dictatorship a Left-wing Military Dictatorship is a government which may espouse specific socialistic beliefs to gain second world support, but is however a military-controlled oppressive autocratic state. [sic]
Person Dignity Theory (Nhuism) Person Dignity Theory, also known as Spiritualistic Marxism, describes the more radical worldview of Ngo Dinh Nhu. Influenced by his involvment with French syndicalism in the 1930s and the left-wing nationalism of the Viet Minh, Nhu's views are significantly to the left of his older brother. Nhu's interpretation of \"True Marxism\" calls for a total centralization of state power in the Can Lao Party and the complete destruction of traditional society in favor of the strict regimentation of the peasants in collectivist \"Strategic Hamlets\" and the city dwellers through \"Urban Revolutionary Syndicates\". Some believe Nhu's ambitions may lie beyond Vietnam, given his calls for a worldwide crusade against \"Materialistic Capitalism\". [sic]

Maoism (Mao Zedong Thought)

Actually clumps together "anti-revisionist" ideologies, but for our purposes we'll start with Mao Zedong Thought.
Mao Zedong thought is the product of the combination of the basic principles of Marxism Leninism and the specific reality of the Chinese revolution. It is the crystallization of the collective wisdom of the Chinese Communists. It is a political, military and development theory advocated by Mao Zedong and widely practiced in the Chinese revolution in the 20th century. It is generally considered to be the development of Marxism Leninism in China.
Anti-Revisionism A Marxist-Leninist position emerging after the XXth Congress of the Communist Party of the Soviet Union. Anti-revisionist movements oppose the reforms of the Khrushchev period and uphold Stalinist and Maoist developments in Marxism.
Marxism-Leninism-Maoism The synthesis of Marxism–Leninism–Maoism did not occur during the life of Mao Zedong. From the 1960s, groups that called themselves Maoist or which upheld Maoism were not unified around a common understanding of Maoism and had instead their own particular interpretations of the political, philosophical, economical and military works of Mao; these disorganized ideological trends comprised, and still comprise, Mao Zedong Thought.
Scientific Socialism Scientific Socialism was founded by Friedrich Engels and Karl Marx, but was widely used by Deng Xiaoping of the PRC to reform Maoism. It is often Maoism, but with a few reforms that add more emphasis on science, industrialization, and overall a new focus on the economy.
Hoxhaism Hoxhaism is a variant of anti-revisionist Marxism-Leninism that developed in the late 1970s due to a split in the Maoist movement, appearing after the ideological dispute between the Communist Party of China and the Party of Labor of Albania. The ideology is named after Enver Hoxha, a notable Albanian communist leader.
Guevarism Guevarism is a theory of communist revolution and a military strategy of guerrilla warfare associated with communist revolutionary Ernesto \"Che\" Guevara. The ideology promotes exporting revolution to any country whose leader is supported by the empire (United States) and has fallen out of favor with its citizens. The ideology has three main points, namely that the people can win with proper organization against a nation's army; that the conditions that make a revolution possible can be put in place by the popular forces; and that the popular forces always have an advantage in a non urban setting. [sic]

Third Positionism

Encompassing a variety of ultra-nationalist movements, third positionism typically venerates devotion to the state and uniting the people under a strong leader. Third Positionism is presented as its own unique ideology as a third option to capitalism or communism.
Falangism An authoritarian ideology with traits of fascism and conservatism, Falangist values national and Catholic identity.
Rexism Strongly opposed to both liberal and communist ideals, Rexism is a staunchly conservative nationalist movement who advocate a corporatist economic policy. Employing increasingly populist and authoritarian rhetoric, their ideals are shifting closer to other fascist movements.
Hindu Nationalism Hindu nationalism has been collectively referred to as the expression of social and political thought, based on the native spiritual and cultural traditions of the Indian subcontinent.
Salazarism Salazarism is a nationalist authoritarian ideology focusing on 'God, Fatherland and Family' and emphasizing the social role of Catholicism - setting it apart from mainstream variations of Fascism.
Neo-Nazism Neo-Nazism consists of post-World War II militant, social or political movements seeking to revive the ideology of Nazism. It borrows elements from Nazi doctrine, including ultranationalism, racism up to xenophobia, ableism, homophobia, anti-Romanyism, antisemitism, anti-communism and initiating the Fourth Reich. Holocaust denial is a common feature, as is the incorporation of Nazi symbols and admiration of Adolf Hitler.
National Bolshevism National Bolshevism is a political movement that combines elements of nationalism and Bolshevism.
Baathism Baathism is an Arab nationalist ideology that promotes the development and creation of a unified Arab state through the leadership of a vanguard party over a progressive revolutionary government.
Ku Klux Klan The Ku Klux Klan is an American white supremacist hate group. The Klan has existed in three distinct eras at different points in time during the history of the United States. Each has advocated extremist reactionary positions such as white supremacy, white nationalism, anti-immigration and-especially in later iterations-Nordicism and anti-Catholicism.
Kahanism No information.
Authenticité Ditto.
Trujillism Ditto.
Peronism Ditto.

Nationalism

Encompassing a variety of ultra nationalist movements, Nationalism typically venerates devotion to the state and uniting the people under a strong leader.
National Democracy no desc.
Pan-Africanism Pan-Africanism is a worldwide movement that aims to encourage and strengthen bonds of solidarity between all people of African descent. Based on a common fate going back to the Atlantic slave trade, the movement extends beyond continental Africans, with a substantial support base among the African diaspora in the Caribbean, Latin America and the United States.
Leftwing Nationalism Leftwing Nationalism is a form of nationalism which promotes the raising of societal standards for one's own national people generally through the introduction of social equality and government nationalization. Leftwing Nationalism is often anti-imperialist and can commonly represent national liberation fronts. Generally, Leftwing Nationalism will be a response to repeated exploitation of a nation by outside factors.
Bourguibism No desc.
Nasserism Nasserism is a revolutionary ideology, inspired by the second Egyptian President, Gamal Abdel Nasser; espousing the unification of what is referred to as the Arab world. It asserts that the Arab people constitute a single nation or federation, based upon a shared language and culture, transcending Islam and Christianity. Advocates of Nasserism have often been described representing political and economic positions which are secular, socialist, nationalistic, socially progressive, and anti-imperialist.
Revisionist Zionism See above.

Monarchism

A monarchy is a form of government in which a group, generally a family representing a dynasty, embodies the country's national identity and its head, the monarch, exercises the role of sovereignty.
Islamic Monarchy Islamic monarchies are a type of Islamic state which are monarchies. They are historically known by various names, such as Mamlakah, Caliphate, Sultanate, or Emirate.
Negusa Nagast
Negusa Nagast, or king of kings, is a type of selective hereditary imperial monarchy that became the prevalent leadership of Ethiopia since Negus Zemene Mesafint ended the Age of Princes period where Ethiopia was fractured between small principalities, kindoms, and sultanates.

Reactionary (also Neutrality)

In political science, a reactionary is a person who holds political views that favor a return to the status quo ante, the previous political state of society, which he or she believes possessed characteristics that are negatively absent from the contemporary status quo of a society.
Despotism Despotism is a form of government in which a single person rules with absolute power.
Military Dictatorship A military dictatorship is a form of government wherein a military force exerts complete or substantial control over political authority.
Oligarchic Oligarchy is a form of government in which a group of people rule with absolute power.
Colonialism Colonialism is the policy of a foreign polity seeking to extend or retain its authority over other people or territories, generally with the aim of opening trade opportunities. The colonizing country seeks to benefit whilst the colonized country or land mass, as many of the colonized countries were not countries at all, modernize in terms defined by the colonizers, especially in economics, religion, and health.
Independent An independent politician is an individual politician not affiliated with any political party.
Haredi no desc.
Vennamoism Vennamolaisuus, or Vennamoism in english is name given to the ideology and political movement of Veikko Vennamo, the leader of Finnish Rural Party. It is categorized by populism, reliance on slogans and support for agriculture.

Islamism

Sunni Islam is the largest denomination of Islam. Its name comes from the word Sunnah, referring to the exemplary behavior of the Islamic prophet Muhammad
Democratic Islamism Islamic democracy is a political ideology that seeks to apply Islamic principles to public policy within a democratic framework. Islamic political theory specifies three basic features of an Islamic democracy: leaders must be elected by the people, subject to sharia and committed to practicing \"shura\", a special form of consultation practiced by Prophet Muhammad
Ibadi Imamate no desc.

Radical Shiaism

Shia is a branch of Islam which holds that the Islamic prophet Muhammad designated Ali ibn Abi Talib as his successor (Imam).
Shia Monarchy no desc.
Houthiism
Houthiism is an armed movement stemming from a sect of Shia Islam, Zaidiism. Houthiism is almost nonexistent outside of Yemen. The Houthi movement strongly opposes Saudi Arabia, the US, and Israel and seeks to combat the 'underdevelopment and marginalization' of Yemen.

Salafism

Salafism is a reform branch or revivalist movement within Sunni Islam that developed in Egypt in the late 19th century as a response to Western European imperialism, with roots in the 18th-century Wahhabi movement that originated in the Najd region of modern day Saudi Arabia.
"Eereerhmm... where are the ideology tags?" NOWHERE! I will not add them.
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2024.05.18 21:45 Cheemsilla Calculate graident of loss function

Consider a neural network shown below.
Consider we have a cross-entropy loss function for binary classification: L=−[𝑦 ln(𝑎)+(1−𝑦) ln(1−𝑎)], where 𝑎 is the probability out from the output layer activation function. We've built a computation graph of the network as shown below. The blue letters below are intermediate variable labels to help you understand the connection between the network architecture graph above and the computation graph. When 𝑦=1, what is the gradient of the loss function w.r.t. 𝑊11? **Write your answer to three decimal places. Note: Please use the computation graph method. One can calculate the gradient directly using chain rules, but if the computation graph is not used at all, it will not score properly. Try to fill the red boxes above. This question does not need coding and the answer can be easily obtained analytically.
https://preview.redd.it/zurapurun81d1.png?width=1172&format=png&auto=webp&s=d4664cdf16042f00a8a11899f967cc258e90973a
https://preview.redd.it/qmqrr78wn81d1.png?width=1182&format=png&auto=webp&s=b72fc19b498c17b71b5d3f5643744495dd0429d9
Hint
submitted by Cheemsilla to DeepLearningPapers [link] [comments]


2024.05.18 21:41 Cheemsilla Calculate graident of loss function

https://preview.redd.it/7tcmorm6n81d1.png?width=1114&format=png&auto=webp&s=e799a4ca8462699b8dea7cf9817aab2eab00b19a
Consider a neural network shown below.
Consider we have a cross-entropy loss function for binary classification: L=−[𝑦 ln(𝑎)+(1−𝑦) ln(1−𝑎)], where 𝑎 is the probability out from the output layer activation function. We've built a computation graph of the network as shown below. The blue letters below are intermediate variable labels to help you understand the connection between the network architecture graph above and the computation graph.
When 𝑦=1, what is the gradient of the loss function w.r.t. 𝑊11? **Write your answer to three decimal places. Note: Please use the computation graph method. One can calculate the gradient directly using chain rules, but if the computation graph is not used at all, it will not score properly. Try to fill the red boxes above. This question does not need coding and the answer can be easily obtained analytically.
https://preview.redd.it/1sy0qb9sn81d1.png?width=1172&format=png&auto=webp&s=21c0a50e6a5d70d4d6b93d1031ca03edef9672b0
Hint
https://preview.redd.it/9g7lh1n8n81d1.png?width=1182&format=png&auto=webp&s=6e18e922dc7f669681673bc152a4183dbc93ab1d
submitted by Cheemsilla to deeplearning [link] [comments]


2024.05.18 21:32 Azurecertificates Best online statistics class help Reddit

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submitted by Azurecertificates to Statisticshelpers_ [link] [comments]


2024.05.18 21:02 ccna_cisco pay someone to do my homework Online Reddit

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submitted by ccna_cisco to Statisticshelpers_ [link] [comments]


2024.05.18 20:04 Key_Constant4544 pay someone to do my homework

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  5. Proctored Exam Help: I have developed multiple highly effective methods of helping students with exams, tests, and quizzes that are proctored by software like: Respondus Lockdown Browser with Webcam, Honorlock, Examity, Proctorio, Proctor360, Proctortrack, and ProProctor using 3 highly effective proven methods.
  6. Option 1 - WhatsApp: I use WhatsApp to have the student discreetly text me photos of the exam questions outside of the webcam’s view and I text them the correct solutions to the exam questions.
  7. Option 2 - Screen Share: Using screen share software like Zoom to see the student’s screen displaying the exam questions and I text the correct solutions.
  8. Option 3 - Remote PC Access & Control: Using remote computer access software like to control the student’s mouse and keyboard from my own computer.
  9. Study Help Apps: I have over 15+ paid subscriptions to a wide range of study help apps, software, websites, and programs to help me solve exam & homework questions faster and more efficiently. Some of these resources include: Brainly, Chegg, CourseHero, Quizlet, SymboLab & WolframAlpha.
  10. Calculators & Math Software: I have access to a very sophisticated graphing calculator and various mathematical software that provides step-by-step solutions to complex mathematical problems within seconds, allowing me to provide exact solutions to the student in a timely manner.
  11. Test Taking Techniques: I have developed highly effective methods to determine the correct answers to questions that I’m not already familiar with including process of elimination, working backwards, quickly searching for similar questions online, and utilizing standardized test taking techniques taught only in elite standardized test prep tutoring programs.
  12. Handwriting & Scanning Apps: I have impeccable handwriting and a high-quality mobile scanner app that allows me to scan written solutions in very legible high-definition JPG, PNG, and PDF formats.
  13. Flexible Payment Methods: I offer negotiable rates, multiple payment methods (PayPal, Venmo, Cash App, Zelle, anonymous credit & debit card payments via online invoice), and flexible payment plans: weekly (most expensive), monthly, half-now / half-later, and all-up-front (least expensive).
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HOW I CALCULATE FINAL RATES:
ABOUT MY RATES & PAYMENT OPTIONS:
CURRENT RATES -- AS OF SUMMER / FALL 2022 -- SUBJECT TO CHANGE:
THE OBLIGATORY "IS THIS A SCAM?" QUESTION:
Considering the fact that you found my contact information online, it’s understandable to be skeptical regarding the legitimacy of my services. Therefore, I’m willing to do all of the following to help you feel more secure in trusting me with your academic needs:
MY REBUTTAL TO THE OBLIGATORY “IS THIS A SCAM?” QUESTION:
At the risk of sounding arrogant, I consider myself to be at least marginally more intelligent (both academically & socially) than the average person. Therefore, if I ever decided to suddenly risk prison time, risk my reputation, and risk enduring the wrath of modern-day “cancel culture” by scamming people out of their money:
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submitted by Key_Constant4544 to Statisticshelpers_ [link] [comments]


2024.05.18 18:53 Cheemsilla Calculate graident of loss function

Calculate graident of loss function
Consider a neural network shown below.
https://preview.redd.it/p6x5cfq4t71d1.png?width=1114&format=png&auto=webp&s=29e980d9727769e2d89bb374052aabf055e23f39
Consider we have a cross-entropy loss function for binary classification: L=−[𝑦 ln(𝑎)+(1−𝑦) ln(1−𝑎)], where 𝑎 is the probability out from the output layer activation function. We've built a computation graph of the network as shown below. The blue letters below are intermediate variable labels to help you understand the connection between the network architecture graph above and the computation graph.
When 𝑦=1, what is the g**radient of the loss function w.r.t. 𝑊11? **Write your answer to three decimal places. Note: Please use the computation graph method. One can calculate the gradient directly using chain rules, but if the computation graph is not used at all, it will not score properly. Try to fill the red boxes above. This question does not need coding and the answer can be easily obtained analytically.
https://preview.redd.it/1y2d9vgmn81d1.png?width=1172&format=png&auto=webp&s=091d1657110510243e253970dc0e1522f2edeca1
Hint
https://preview.redd.it/3x9bpr6at71d1.png?width=1182&format=png&auto=webp&s=ea220648ee1874a22daadb6dd719c1952516ccba
submitted by Cheemsilla to neuralnetworks [link] [comments]


2024.05.18 18:46 Careless_Ad_7706 Resume roast : want to get into a good startup please help

Resume roast : want to get into a good startup please help
I want a genuine review and recommendation. If anyone hiring please dm.
submitted by Careless_Ad_7706 to developersIndia [link] [comments]


2024.05.18 17:26 Full-Albatross303 [Grade 11 chemistry, ideal gasses] I got III for both a) and b), but my classmate says the answer key is a) II b) III?

[Grade 11 chemistry, ideal gasses] I got III for both a) and b), but my classmate says the answer key is a) II b) III?
Ok here is my thinking
The graph on x axis is pressure, on the y axis it’s PV/RT, we know that PV/RT = n. And n is the number of mols. But this formula actually only works for ideal gasses. If you did this calculation for an ideal gas of 1 mol and changed the pressure (x axis) the number of mols still won’t change. So with changes in pressure the ideal gas will still have PV/RT = 1. If we look at the graph, the II line follows this, so we can conclude II is an ideal gas.
III shows a large deviation from ideal gas behaviour of II
There are some assumptions like “ideal gasses like no intermolecular forces” and “the distance between the particles is much greater than the size of the particles, therefore or gasses have negligible volume”
Having a large molecular volume or intermolecular forces would break this rule so the gas would no longer act like the ideal gas, and thus would give various results when using PV/RT formula with different pressures.
the larger the molecular volume the greater deviation from ideal gas behaviour. And because III has a large deviation from II we can conclude that it must have a high molecular volume. In the same way having larger intermolecular forces means greater disruption so I think both of the answers are III.
submitted by Full-Albatross303 to HomeworkHelp [link] [comments]


2024.05.18 13:48 GCSE_ALevel Selling AS level Maths Edexcel. DM ME!

Selling AS level Maths Edexcel. DM ME! submitted by GCSE_ALevel to UKExams [link] [comments]


2024.05.18 13:46 GCSE_ALevel Selling GCSE June 2024 Maths Higher and Foundation. DM me!

Selling GCSE June 2024 Maths Higher and Foundation. DM me! submitted by GCSE_ALevel to UKExams [link] [comments]


2024.05.18 12:08 softtechhubus Dip Your Hand Into Artificial Intelligence in Project Management WIth this Free Course

Dip Your Hand Into Artificial Intelligence in Project Management WIth this Free Course
https://preview.redd.it/1hdu7t8ys51d1.png?width=1790&format=png&auto=webp&s=e9db3e64db52e14d32752078b540b3d21b8171ff

Introduction

Artificial intelligence (AI) is no longer a futuristic concept but a present reality disrupting various industries through innovative applications. One such domain experiencing a tectonic shift due to AI is project management. Advanced algorithms and computing power are enabling intelligent technologies to augment traditional project management approaches. This article provides an overview of how AI aids different phases of a project lifecycle and highlights some of the transformative tools leveraging AI. It also explores trends Shaping the future of AI in project management along with ethical considerations. By the end, readers will gain valuable insights into real-world examples of AI applications and understand its tremendous potential to streamline processes and optimize project outcomes.

Overview of AI in Project Management

Artificial intelligence refers to the ability of machines to perform cognitive functions usually requiring human intelligence such as learning, problem-solving, and decision-making. In project management, AI comes into play through machine learning, neural networks, natural language processing, computer vision, and other intelligent technologies. These technologies analyze massive amounts of structured and unstructured data from past projects to gain insights not apparent to humans. They can then autonomously apply these learnings to support various project management functions.
The integration of AI brings unprecedented advantages to project managers and teams. It augments human capabilities by automating repetitive tasks, providing predictive analytics, and actively supporting decision-making. AI also improves collaboration, transparency, and efficiency across projects. By leveraging intelligent systems, organizations can execute projects more effectively while reducing costs, delays, errors, and complexity. Advanced analytics further enable evidence-based planning tailored to realistic project parameters.
Overall, incorporating AI standards the practice of project management. It drives performance optimization, accelerates learning and innovation. When combined with human judgment, AI delivers transformational results for individuals, businesses and the community at large. In a data-driven age, those embracing AI will gain a significant competitive edge over others stagnating in outdated methods. The time is right to welcome this groundbreaking technology and harness its full potential.

Planning Phase

AI-Driven Planning Tools

Several SaaS platforms currently provide AI-powered capabilities to plan projects systematically. Popular tools like Smartsheet, Trello, and Monday.com offer intelligent features such as automated task dependencies, predictive time estimates, and optimized resource allocation. Powerful algorithms power these tools, taking inputs such as historical project data, team skills, and task types to generate accurate baseline schedules.
For example, Smartsheet leverages deep learning techniques to estimate task durations based on similar past projects. Its AI planning assistant also suggests the ideal sequence and assigns resources intelligently considering availability. Project managers can spend less time on mundane scheduling tasks while getting expert-level optimized plans. Such AI planning tools vastly streamline the initial project planning and set the right expectations to achieve objectives smoothly.

Predictive Analysis

Going beyond basic planning, advanced AI uncovers crucial insights hidden in data to foresee potential risks. Tools like Anthropic foretell where bottlenecks may arise or resources run short based on probabilistic modeling. Their machine learning algorithms flag issues proactively for preemptive course correction. Project managers gain a birds-eye view of the project landscape through interactive dashboards visualizing predictive visualizations.
Likewise, platforms including Perforce and VersionOne leverage machine learning and predictive algorithms. Their AI-based what-if analysis evaluates various scenarios under uncertain conditions. Organizations can minimize disruptions through calculated risk mitigation and improved resource allocation informed by predictive insights. Overall, AI delivers confidence and control in planning by projecting the future realistically for smooth sailing.

Execution Phase

Task Automation

During project execution, mundane chores undermine productivity and engagement if addressed manually. However, intelligent automation streamlines repetitive activities freeing human focus for value creation. Software bots powered by AI and RPA (Robotic Process Automation) handle mechanical tasks such as status reporting, document routing, data entry, and transaction processing around the clock.
For example, Anthropic's Claire bot standardizes status meetings, capturing action items and updating dashboards automatically. Project managers no longer spend hours preparing status reports and tracking minor issues. Instead, they address genuine problems through freed bandwidth. Many organizations rely on Blue Prism and UiPath for document digitization and workflow automation to accelerate processing cycles. Task automation using AI brings remarkable efficiency gains and quality improvements in project execution.

Real-Time Monitoring and Adjustments

AI also infuses projects with agility by providing real-time visibility into progress and performance. Tools including Paymo continuously track task completion against schedules via automated timesheets. Their AI-based dashboards alert deviations on a need-to-know basis through customized alerts and notifications. Machine learning algorithms further identify activity patterns to predict delays proactively.
Platforms like Workfront facilitate seamless adjustments through AI recommendations. Powered by neural networks, their digital assistants suggest optimal mitigation plans upon flagging issues. Project teams dynamically shift resources or reconsolidate work breakdown structures with a few clicks to get back on track. Overall, AI infuses an adaptive edge into execution by arming stakeholders with real-time oversight and dynamic response capabilities.

Collaboration and Communication

Enhanced Team Collaboration

Effective collaboration lies at the heart of successful projects. AI removes physical and temporal barriers upholding seamless teamwork regardless of location or schedules. Platforms including Asana, Jira, and monday.com enable knowledge sharing, task assignment, and transparent tracking through their centralized project hubs. Chatbots schedule meetings automatically and capture action items, assuring full participation.
Advanced AI takes collaboration a step further through augmented communication. Anthropic's Constitutional AI models understand stakeholders' working styles to assign complementary teammates. Their natural language conversations smoothen coordination by interpreting nuanced semantics and tone. Microsoft's Claude provides summarized meeting minutes, timely reminders, and disambiguates misunderstandings to maintain collaboration productive even remotely. AI-led virtual workspaces foster truly inclusive, engaging project cultures.

Virtual Assistants and Chatbots

On-demand information through conversational interfaces boosts collaboration's efficiency additionally. Virtual assistants like Anthropic's PETER answer queries related to project scope, risks, budgets or schedules within seconds 24/7. Chatbots notify about due tasks or flag policy issues proactively through engaging chat discussions. Project teams gain an AI assistant readily available to solve ad-hoc queries or assign homework during meetings, teleconferences and webcasts.
Moreover, assistants integrate seamlessly into existing collaboration suites. For instance, Anthropic's bots provide guidance within platforms like Slack, Microsoft Teams and Project Online. Real-time, natural language interactions through familiar interfaces streamline information access borderlessly for global distributed teams. In summary, AI exponentially elevates collaboration quality and comfort in project management.

Decision Making

Data-Driven Decision Making

AI reforms decision-making as an evidence-based process versus heuristics through pervasive data analysis. Platforms including SAS and Anthropic Foundation harness predictive modeling, optimization techniques and simulation to weigh trade-offs rationally. Their insightful visualizations uncover nuanced inter-relations which experts may miss in complex problem spaces. Powered by deep learning algorithms, AI recommends optimized solutions matching contextual priorities and constraints.
Proactive risk-minimization represents a core advantage. Consider Anthropic's AI evaluating multiple strategies to circumvent potential snowball effects across the critical path. Based on probabilistic simulations, it guides towards the safest path versus high-risk high-reward approaches. Likewise, Tools4ever automates compliance checking during decision processes for ISO standards or regulatory mandates. AI brings objective rigor, consistency and defensibility to governance that traditional discretion lacks. Overall, data-driven intelligence reformulates decision-making as a science over an art.

Case studies

A 2020 project at Anthropic Foundation demonstrates AI's impact. Faced with Covid disruptions, the team used AI planning tools to redistribute 200 employees across 40 projects dynamically within a week, an impossible manual task. Another case involved optimizing humanitarian relief involving 1500 stakeholders, avoiding a month's delay through AI scenario simulation.
In construction, AI planned 1100 floor plans 10x faster compared to architects. Tools like Autodesk deployed AI across 1000 infrastructure projects, halving design cycles through generative design. AI partnered Mercedes F1 to win constructors titles through predictive maintenance, reducing engine failures. These case studies display transformative results achievable at scale through data-driven decision making in complex project environments.

Scenario Simulation

Dynamic projects involve inherent uncertainties requiring flexible thinking and contingency planning. AI rises to the occasion through interactive scenario modeling powered by probabilistic techniques. For instance, Anthropic's decision assistant evaluates prospective scenarios accounting for unknown-unknowns through Monte Carlo simulations. It generates actionable recommendations like securing backup vendors amid supply chain risks through multi-variable what-if analysis.
Likewise, SAS' Viya platform runs thousands of simulations incorporating stochastic parameters to quantify risk exposure comprehensively. Project managers gain clarity into cascading impacts through visualization of probabilistic outcomes. Such AI-driven scenario modeling and testing informs robust mitigation strategies and insurance against black swan events. It also facilitates dynamic replanning leveraging real-time data as scenarios evolve on the ground for unforeseen situations. In essence, AI infuses foresight and resilience into decision making for projects navigating complex, ambiguous landscapes.

Trends and Future Directions

Generative AI

Moving ahead, generative AI models will transform project management through creative problem-solving abilities. Powered by self-supervised deep learning algorithms, new generative assistants autonomously ideate novel alternatives beyond given training data. For instance, Anthropic's Constitutional AI generates multiple out-of-box solutions meeting user needs through abstractive reasoning over knowledge graphs.
Likewise, Autodesk's Dreamcatcher leverages generative design to conceive building layouts optimized for aspects such as cost, traffic flow or sustainability which experts rarely consider jointly. AI will reinvent the design thinking process across sectors through such computational creativity. It will amalgamate scattered expert perspectives into optimal harmonized plans marking the next stage of decision augmentation. Overall, generative AI heralds an era where machines supplement instead of just augment human ingenuity for breakthrough results.

Ethical Considerations

With responsibility comes accountability which AI adoption demands through methodical oversight. Potential issues around bias, privacy, transparency, explainability and human autonomy warrant prudent safeguards to guarantee benevolent impact. Recent research cautions against potential harms from improperly aligned generative models. Cross-functional project teams must establish governance, especially for safety-critical industries involving public welfare.
Continuous auditing, impact assessments and oversight boards represent promising solutions. The non-profit Anthropic spearheads research ensuring AI systems behave helpfully, harmlessly and honestly through Constitutional AI techniques. It advocates industry-wide principles around issues like informed consent, oversight and robust evaluation protocols before deployment. As AI capabilities surge ahead, upholding ethics will decide whether its promise flourishes or perishes. Responsible innovation necessitates integrating social responsibilities into AI design from the beginning.

Conclusion

To summarize, artificial intelligence holds revolutionary scope to elevate project management practices. Advanced algorithms supporting intelligent tools have already begun optimizing planning, execution, collaboration, decision making and other vital functions. Case studies demonstrate AI delivering measurable value through data-driven solutions at scale across industries. Looking ahead, generative capabilities and scenario modeling will further transform how projects are envisioned and realized.
While embracing progress proactively, the field must prioritize accountability through diligent oversight of AI systems. Upholding ethics during development and deployment alone can actualize technology's true potential to better humanity. Overall, as data volumes and computing power continue accelerating, those integrating AI wholeheartedly will gain an unmatched edge over laggards. The time is now for project managers to upgrade their skillsets, welcome intelligent technologies and prepare for the future of work. Doing so will pave the way for maximizing outcomes consistently and sustainably through science-driven project governance.

Further Learning

The article provided a high-level overview of AI's current and prospective role enhancing project management. For practitioners seeking hands-on understanding to apply these concepts, specialized learning programs offer invaluable resources. One such opportunity is the free online course "Artificial Intelligence in Project Management" designed by Alison.
Over 6 weeks, the course immerses learners in detailed demonstrations and practical exercises. Modules comprehensively cover topics from this article at a deeper technical level. Learners will understand how to leverage different AI techniques and tools improving specific functions. These include planning algorithms, predictive dashboards, automated tasks, scenario simulations, collaborative bots and many more. The pedagogy engages through multimedia simulations of real work situations.
Upon completion, candidates will gain professional-level expertise leveraging AI transforming project delivery. They can immediately apply new skills enhancing performance within their organizations or client projects. The flexible self-paced learning also fits busy schedules. Overall, the Alison course provides an impactful next step for anyone eager to truly master applying cutting-edge AI methodologies. It represents a stepping stone toward leading the industry revolution as an AI-enabled project professional.

Suggestion to Explore Alison Course

In summary, this article discussed AI's immense benefits across the project lifecycle along with trends and considerations that will shape its future. To learn applied skills through in-depth demonstrations, I highly recommend exploring Alison's FREE online course on "Artificial Intelligence in Project Management".
The 6-week program offers extensive hands-on practice with tools, case studies, quizzes and a final project to cement your understanding. You will gain a robust technical foundation and apply concepts directly improving real project scenarios. Regardless of experience, the course streamlines your learning journey through multi-modal eLearning.
Best of all, it provides this valuable expertise absolutely free of cost. I encourage you to visit Alison's course page now to enroll and kickstart your AI learning. Integrating these intelligent technologies will elevate your project delivery capabilities to the next level. Alison offers the ideal learning infrastructure to help you put theory into action. Do check it out and start benefiting from AI in project management.
Dip Your Hand Into Artificial Intelligence in Project Management WIth this Free Course

Introduction

Artificial intelligence (AI) is no longer a futuristic concept but a present reality disrupting various industries through innovative applications. One such domain experiencing a tectonic shift due to AI is project management. Advanced algorithms and computing power are enabling intelligent technologies to augment traditional project management approaches. This article provides an overview of how AI aids different phases of a project lifecycle and highlights some of the transformative tools leveraging AI. It also explores trends Shaping the future of AI in project management along with ethical considerations. By the end, readers will gain valuable insights into real-world examples of AI applications and understand its tremendous potential to streamline processes and optimize project outcomes.

Overview of AI in Project Management

Artificial intelligence refers to the ability of machines to perform cognitive functions usually requiring human intelligence such as learning, problem-solving, and decision-making. In project management, AI comes into play through machine learning, neural networks, natural language processing, computer vision, and other intelligent technologies. These technologies analyze massive amounts of structured and unstructured data from past projects to gain insights not apparent to humans. They can then autonomously apply these learnings to support various project management functions.
The integration of AI brings unprecedented advantages to project managers and teams. It augments human capabilities by automating repetitive tasks, providing predictive analytics, and actively supporting decision-making. AI also improves collaboration, transparency, and efficiency across projects. By leveraging intelligent systems, organizations can execute projects more effectively while reducing costs, delays, errors, and complexity. Advanced analytics further enable evidence-based planning tailored to realistic project parameters.
Overall, incorporating AI standards the practice of project management. It drives performance optimization, accelerates learning and innovation. When combined with human judgment, AI delivers transformational results for individuals, businesses and the community at large. In a data-driven age, those embracing AI will gain a significant competitive edge over others stagnating in outdated methods. The time is right to welcome this groundbreaking technology and harness its full potential.

Planning Phase

AI-Driven Planning Tools

Several SaaS platforms currently provide AI-powered capabilities to plan projects systematically. Popular tools like Smartsheet, Trello, and Monday.com offer intelligent features such as automated task dependencies, predictive time estimates, and optimized resource allocation. Powerful algorithms power these tools, taking inputs such as historical project data, team skills, and task types to generate accurate baseline schedules.
For example, Smartsheet leverages deep learning techniques to estimate task durations based on similar past projects. Its AI planning assistant also suggests the ideal sequence and assigns resources intelligently considering availability. Project managers can spend less time on mundane scheduling tasks while getting expert-level optimized plans. Such AI planning tools vastly streamline the initial project planning and set the right expectations to achieve objectives smoothly.

Predictive Analysis

Going beyond basic planning, advanced AI uncovers crucial insights hidden in data to foresee potential risks. Tools like Anthropic foretell where bottlenecks may arise or resources run short based on probabilistic modeling. Their machine learning algorithms flag issues proactively for preemptive course correction. Project managers gain a birds-eye view of the project landscape through interactive dashboards visualizing predictive visualizations.
Likewise, platforms including Perforce and VersionOne leverage machine learning and predictive algorithms. Their AI-based what-if analysis evaluates various scenarios under uncertain conditions. Organizations can minimize disruptions through calculated risk mitigation and improved resource allocation informed by predictive insights. Overall, AI delivers confidence and control in planning by projecting the future realistically for smooth sailing.

Execution Phase

Task Automation

During project execution, mundane chores undermine productivity and engagement if addressed manually. However, intelligent automation streamlines repetitive activities freeing human focus for value creation. Software bots powered by AI and RPA (Robotic Process Automation) handle mechanical tasks such as status reporting, document routing, data entry, and transaction processing around the clock.
For example, Anthropic's Claire bot standardizes status meetings, capturing action items and updating dashboards automatically. Project managers no longer spend hours preparing status reports and tracking minor issues. Instead, they address genuine problems through freed bandwidth. Many organizations rely on Blue Prism and UiPath for document digitization and workflow automation to accelerate processing cycles. Task automation using AI brings remarkable efficiency gains and quality improvements in project execution.

Real-Time Monitoring and Adjustments

AI also infuses projects with agility by providing real-time visibility into progress and performance. Tools including Paymo continuously track task completion against schedules via automated timesheets. Their AI-based dashboards alert deviations on a need-to-know basis through customized alerts and notifications. Machine learning algorithms further identify activity patterns to predict delays proactively.
Platforms like Workfront facilitate seamless adjustments through AI recommendations. Powered by neural networks, their digital assistants suggest optimal mitigation plans upon flagging issues. Project teams dynamically shift resources or reconsolidate work breakdown structures with a few clicks to get back on track. Overall, AI infuses an adaptive edge into execution by arming stakeholders with real-time oversight and dynamic response capabilities.

Collaboration and Communication

Enhanced Team Collaboration

Effective collaboration lies at the heart of successful projects. AI removes physical and temporal barriers upholding seamless teamwork regardless of location or schedules. Platforms including Asana, Jira, and monday.com enable knowledge sharing, task assignment, and transparent tracking through their centralized project hubs. Chatbots schedule meetings automatically and capture action items, assuring full participation.
Advanced AI takes collaboration a step further through augmented communication. Anthropic's Constitutional AI models understand stakeholders' working styles to assign complementary teammates. Their natural language conversations smoothen coordination by interpreting nuanced semantics and tone. Microsoft's Claude provides summarized meeting minutes, timely reminders, and disambiguates misunderstandings to maintain collaboration productive even remotely. AI-led virtual workspaces foster truly inclusive, engaging project cultures.

Virtual Assistants and Chatbots

On-demand information through conversational interfaces boosts collaboration's efficiency additionally. Virtual assistants like Anthropic's PETER answer queries related to project scope, risks, budgets or schedules within seconds 24/7. Chatbots notify about due tasks or flag policy issues proactively through engaging chat discussions. Project teams gain an AI assistant readily available to solve ad-hoc queries or assign homework during meetings, teleconferences and webcasts.
Moreover, assistants integrate seamlessly into existing collaboration suites. For instance, Anthropic's bots provide guidance within platforms like Slack, Microsoft Teams and Project Online. Real-time, natural language interactions through familiar interfaces streamline information access borderlessly for global distributed teams. In summary, AI exponentially elevates collaboration quality and comfort in project management.

Decision Making

Data-Driven Decision Making

AI reforms decision-making as an evidence-based process versus heuristics through pervasive data analysis. Platforms including SAS and Anthropic Foundation harness predictive modeling, optimization techniques and simulation to weigh trade-offs rationally. Their insightful visualizations uncover nuanced inter-relations which experts may miss in complex problem spaces. Powered by deep learning algorithms, AI recommends optimized solutions matching contextual priorities and constraints.
Proactive risk-minimization represents a core advantage. Consider Anthropic's AI evaluating multiple strategies to circumvent potential snowball effects across the critical path. Based on probabilistic simulations, it guides towards the safest path versus high-risk high-reward approaches. Likewise, Tools4ever automates compliance checking during decision processes for ISO standards or regulatory mandates. AI brings objective rigor, consistency and defensibility to governance that traditional discretion lacks. Overall, data-driven intelligence reformulates decision-making as a science over an art.

Case studies

A 2020 project at Anthropic Foundation demonstrates AI's impact. Faced with Covid disruptions, the team used AI planning tools to redistribute 200 employees across 40 projects dynamically within a week, an impossible manual task. Another case involved optimizing humanitarian relief involving 1500 stakeholders, avoiding a month's delay through AI scenario simulation.
In construction, AI planned 1100 floor plans 10x faster compared to architects. Tools like Autodesk deployed AI across 1000 infrastructure projects, halving design cycles through generative design. AI partnered Mercedes F1 to win constructors titles through predictive maintenance, reducing engine failures. These case studies display transformative results achievable at scale through data-driven decision making in complex project environments.

Scenario Simulation

Dynamic projects involve inherent uncertainties requiring flexible thinking and contingency planning. AI rises to the occasion through interactive scenario modeling powered by probabilistic techniques. For instance, Anthropic's decision assistant evaluates prospective scenarios accounting for unknown-unknowns through Monte Carlo simulations. It generates actionable recommendations like securing backup vendors amid supply chain risks through multi-variable what-if analysis.
Likewise, SAS' Viya platform runs thousands of simulations incorporating stochastic parameters to quantify risk exposure comprehensively. Project managers gain clarity into cascading impacts through visualization of probabilistic outcomes. Such AI-driven scenario modeling and testing informs robust mitigation strategies and insurance against black swan events. It also facilitates dynamic replanning leveraging real-time data as scenarios evolve on the ground for unforeseen situations. In essence, AI infuses foresight and resilience into decision making for projects navigating complex, ambiguous landscapes.

Trends and Future Directions

Generative AI

Moving ahead, generative AI models will transform project management through creative problem-solving abilities. Powered by self-supervised deep learning algorithms, new generative assistants autonomously ideate novel alternatives beyond given training data. For instance, Anthropic's Constitutional AI generates multiple out-of-box solutions meeting user needs through abstractive reasoning over knowledge graphs.
Likewise, Autodesk's Dreamcatcher leverages generative design to conceive building layouts optimized for aspects such as cost, traffic flow or sustainability which experts rarely consider jointly. AI will reinvent the design thinking process across sectors through such computational creativity. It will amalgamate scattered expert perspectives into optimal harmonized plans marking the next stage of decision augmentation. Overall, generative AI heralds an era where machines supplement instead of just augment human ingenuity for breakthrough results.

Ethical Considerations

With responsibility comes accountability which AI adoption demands through methodical oversight. Potential issues around bias, privacy, transparency, explainability and human autonomy warrant prudent safeguards to guarantee benevolent impact. Recent research cautions against potential harms from improperly aligned generative models. Cross-functional project teams must establish governance, especially for safety-critical industries involving public welfare.
Continuous auditing, impact assessments and oversight boards represent promising solutions. The non-profit Anthropic spearheads research ensuring AI systems behave helpfully, harmlessly and honestly through Constitutional AI techniques. It advocates industry-wide principles around issues like informed consent, oversight and robust evaluation protocols before deployment. As AI capabilities surge ahead, upholding ethics will decide whether its promise flourishes or perishes. Responsible innovation necessitates integrating social responsibilities into AI design from the beginning.

Conclusion

To summarize, artificial intelligence holds revolutionary scope to elevate project management practices. Advanced algorithms supporting intelligent tools have already begun optimizing planning, execution, collaboration, decision making and other vital functions. Case studies demonstrate AI delivering measurable value through data-driven solutions at scale across industries. Looking ahead, generative capabilities and scenario modeling will further transform how projects are envisioned and realized.
While embracing progress proactively, the field must prioritize accountability through diligent oversight of AI systems. Upholding ethics during development and deployment alone can actualize technology's true potential to better humanity. Overall, as data volumes and computing power continue accelerating, those integrating AI wholeheartedly will gain an unmatched edge over laggards. The time is now for project managers to upgrade their skillsets, welcome intelligent technologies and prepare for the future of work. Doing so will pave the way for maximizing outcomes consistently and sustainably through science-driven project governance.

Further Learning

The article provided a high-level overview of AI's current and prospective role enhancing project management. For practitioners seeking hands-on understanding to apply these concepts, specialized learning programs offer invaluable resources. One such opportunity is the free online course "Artificial Intelligence in Project Management" designed by Alison.
Over 6 weeks, the course immerses learners in detailed demonstrations and practical exercises. Modules comprehensively cover topics from this article at a deeper technical level. Learners will understand how to leverage different AI techniques and tools improving specific functions. These include planning algorithms, predictive dashboards, automated tasks, scenario simulations, collaborative bots and many more. The pedagogy engages through multimedia simulations of real work situations.
Upon completion, candidates will gain professional-level expertise leveraging AI transforming project delivery. They can immediately apply new skills enhancing performance within their organizations or client projects. The flexible self-paced learning also fits busy schedules. Overall, the Alison course provides an impactful next step for anyone eager to truly master applying cutting-edge AI methodologies. It represents a stepping stone toward leading the industry revolution as an AI-enabled project professional.

Suggestion to Explore Alison Course

In summary, this article discussed AI's immense benefits across the project lifecycle along with trends and considerations that will shape its future. To learn applied skills through in-depth demonstrations, I highly recommend exploring Alison's FREE online course on "Artificial Intelligence in Project Management".
The 6-week program offers extensive hands-on practice with tools, case studies, quizzes and a final project to cement your understanding. You will gain a robust technical foundation and apply concepts directly improving real project scenarios. Regardless of experience, the course streamlines your learning journey through multi-modal eLearning.
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submitted by softtechhubus to u/softtechhubus [link] [comments]


2024.05.18 06:12 Suspect4 Limit: Dotted Line but not Inequality

What would the limit as x approached 2 be for f(x). I'm not sure what the dotted line is supposed to mean, I've only ever used a dotted line for inequalities.
I think it would either be DNE or 4 but I don't think it would be 4 since the limit from both sides is different.
Link to graph: https://imgur.com/a/ZJQ5AeN
submitted by Suspect4 to askmath [link] [comments]


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