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Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism
This book provides a new and unique perspective on the dangers of allowing artificial intelligence and big data to manage society.
Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism
Item #: 81374596

Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism

Item #: 81374596

INR 3023

INR 3157

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This book provides a new and unique perspective on the dangers of allowing artificial intelligence and big data to manage society.
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What Stands Out

Innovative Integration
Combines advanced artificial intelligence with statistical analysis, providing a revolutionary approach to understanding capitalism and economic trends.
Comprehensive Insights
Delivers deep insights into the logic behind capitalist systems, helping readers grasp complex economic and mathematical concepts clearly and effectively.
Accessible Learning
Designed for a diverse audience, bridging academic theories and real-world applications, making it suitable for both professionals and newcomers to the field.

Product Details

Shop Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism online at a best price in India. 1788734009
  • Our finances, politics, media, opportunities, information, shopping and knowledge production are mediated through algorithms and their statistical approaches to knowledge; increasingly, these methods form the organizational backbone of contemporary capitalism. Revolutionary Mathematics traces the revolution in statistics and probability that has quietly underwritten the explosion of machine learning, big data and predictive algorithms that now decide many aspects of our lives. Exploring shifts in the philosophical understanding of probability in the late twentieth century, Joque shows how this was not merely a technical change but a wholesale philosophical transformation in the production of knowledge and the extraction of value. This book provides a new and unique perspective on the dangers of allowing artificial intelligence and big data to manage society. It is essential reading for those who want to understand the underlying ideological and philosophical changes that have fueled the rise of algorithms and convinced so many to blindly trust their outputs, reshaping our current political and economic situation.
Publisher Verso
Publication date 11 Jan. 2022
Edition 1st
Language English
Print length 240 pages
ISBN-10 1788734009
ISBN-13 978-1788734004
Item weight 1.05 kg
Dimensions 13.97 x 1.63 x 21.03 cm

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to integrate AI and statistical methods with insights into capitalism's underlying logic.

  • Economics Students

    Beneficial for students studying economics who want to understand the mathematical foundations of capitalist structures.

  • AI Researchers

    Great resource for AI researchers aiming to deepen their knowledge of mathematical models related to economic behavior.

Not Suitable For
  • Casual Readers

    Not suitable for casual readers seeking light content, as it delves into complex mathematical and economic theories.

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Economic Conditions Editorial Review

Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism delves into the intricate relationship between mathematical concepts and the mechanisms of capitalism. Published by Verso on January 11, 2022, this book offers a fresh perspective on how artificial intelligence and statistics are reshaping our understanding of economic systems. With 240 pages of insightful content, readers can expect a thorough exploration that is both intellectually stimulating and practically relevant. The weight of the book gives it a sturdy feel, indicative of its quality material, enhancing the reading experience.

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Pros

  • Engaging exploration of mathematics and capitalism
  • Insights into artificial intelligence applications
  • Thorough research supporting claims
  • Well-structured chapters for easy understanding
  • Suitable for both academics and general readers

Cons

  • Might be dense for casual readers

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