Machine-learning Techniques in Economics

Machine-learning Techniques in Economics

Author: Atin Basuchoudhary

Publisher: Springer

Published: 2017-12-28

Total Pages: 97

ISBN-13: 3319690140

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This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.


Principles

Principles

Author: Ray Dalio

Publisher: Simon and Schuster

Published: 2018-08-07

Total Pages: 560

ISBN-13: 1982112387

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#1 New York Times Bestseller “Significant...The book is both instructive and surprisingly moving.” —The New York Times Ray Dalio, one of the world’s most successful investors and entrepreneurs, shares the unconventional principles that he’s developed, refined, and used over the past forty years to create unique results in both life and business—and which any person or organization can adopt to help achieve their goals. In 1975, Ray Dalio founded an investment firm, Bridgewater Associates, out of his two-bedroom apartment in New York City. Forty years later, Bridgewater has made more money for its clients than any other hedge fund in history and grown into the fifth most important private company in the United States, according to Fortune magazine. Dalio himself has been named to Time magazine’s list of the 100 most influential people in the world. Along the way, Dalio discovered a set of unique principles that have led to Bridgewater’s exceptionally effective culture, which he describes as “an idea meritocracy that strives to achieve meaningful work and meaningful relationships through radical transparency.” It is these principles, and not anything special about Dalio—who grew up an ordinary kid in a middle-class Long Island neighborhood—that he believes are the reason behind his success. In Principles, Dalio shares what he’s learned over the course of his remarkable career. He argues that life, management, economics, and investing can all be systemized into rules and understood like machines. The book’s hundreds of practical lessons, which are built around his cornerstones of “radical truth” and “radical transparency,” include Dalio laying out the most effective ways for individuals and organizations to make decisions, approach challenges, and build strong teams. He also describes the innovative tools the firm uses to bring an idea meritocracy to life, such as creating “baseball cards” for all employees that distill their strengths and weaknesses, and employing computerized decision-making systems to make believability-weighted decisions. While the book brims with novel ideas for organizations and institutions, Principles also offers a clear, straightforward approach to decision-making that Dalio believes anyone can apply, no matter what they’re seeking to achieve. Here, from a man who has been called both “the Steve Jobs of investing” and “the philosopher king of the financial universe” (CIO magazine), is a rare opportunity to gain proven advice unlike anything you’ll find in the conventional business press.


The Machinery Question and the Making of Political Economy 1815-1848

The Machinery Question and the Making of Political Economy 1815-1848

Author: Maxine Berg

Publisher: CUP Archive

Published: 1982-02-04

Total Pages: 396

ISBN-13: 9780521287593

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Dr Berg argues that technical change was one of the foremost theoretical concerns of Ricardo and his successors, and the foundation for their distinctly optimistic view of the future. She shows how the Machinery Question fostered the social conditions in which the status of Political Economy as a discipline was established, and concludes that by the 1840s the divisions over machinery were firmly embedded in the great rival creeds of the future, liberalism and socialism.


The Economics of Artificial Intelligence

The Economics of Artificial Intelligence

Author: Ajay Agrawal

Publisher: University of Chicago Press

Published: 2024-03-05

Total Pages: 172

ISBN-13: 0226833127

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A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.


The Urban Growth Machine

The Urban Growth Machine

Author: Association of American Geographers. Meeting

Publisher: SUNY Press

Published: 1999-08-12

Total Pages: 332

ISBN-13: 9780791442593

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Two decades after Harvey Molotch’s “city as a growth machine,” this book offers a unique, critical assessment of his thesis.


The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

Author: Erik Brynjolfsson

Publisher: W. W. Norton & Company

Published: 2014-01-20

Total Pages: 320

ISBN-13: 0393239357

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The big stories -- The skills of the new machines : technology races ahead -- Moore's law and the second half of the chessboard -- The digitization of just about everything -- Innovation : declining or recombining? -- Artificial and human intelligence in the second machine age -- Computing bounty -- Beyond GDP -- The spread -- The biggest winners : stars and superstars -- Implications of the bounty and the spread -- Learning to race with machines : recommendations for individuals -- Policy recommendations -- Long-term recommendations -- Technology and the future (which is very different from "technology is the future").