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The Equation of Knowledge: From Bayes’ Rule to a Unified Philosophy of Science, ISBN-13: 978-0367428150

The Equation of Knowledge: From Bayes’ Rule to a Unified Philosophy of Science, ISBN-13: 978-0367428150

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The Equation of Knowledge: From Bayes’ Rule to a Unified Philosophy of Science, ISBN-13: 978-0367428150

[PDF eBook eTextbook]

  • Publisher: ‎ Chapman and Hall/CRC; 1st edition (June 19, 2020)
  • Language: ‎ English
  • ‎438 pages
  • ISBN-10: ‎ 0367428156
  • ISBN-13: ‎ 978-0367428150

The Equation of Knowledge: From Bayes’ Rule to a Unified Philosophy of Science introduces readers to the Bayesian approach to science: teasing out the link between probability and knowledge.

The author strives to make this book accessible to a very broad audience, suitable for professionals, students, and academics, as well as the enthusiastic amateur scientist/mathematician.

This book also shows how Bayesianism sheds new light on nearly all areas of knowledge, from philosophy to mathematics, science and engineering, but also law, politics and everyday decision-making.

Bayesian thinking is an important topic for research, which has seen dramatic progress in the recent years, and has a significant role to play in the understanding and development of AI and Machine Learning, among many other things. This book seeks to act as a tool for proselytising the benefits and limits of Bayesianism to a wider public.

Features:

  • Presents the Bayesian approach as a unifying scientific method for a wide range of topics
  • Suitable for a broad audience, including professionals, students, and academics
  • Provides a more accessible, philosophical introduction to the subject that is offered elsewhere

Lê Nguyên Hoang graduated from the École Polytechnique de Montréal with a PhD in applied mathematics, before working as a post-doctoral researcher at MIT. Since 2016, he has been working as a science communicator at EPFL. He also has his own YouTube channel Science4All (in French), with over 170k subscribers.

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2 reviews for The Equation of Knowledge: From Bayes’ Rule to a Unified Philosophy of Science, ISBN-13: 978-0367428150

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