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E-raamat: Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science [Taylor & Francis e-raamat]

  • Formaat: 438 pages, 2 Tables, black and white; 12 Illustrations, black and white
  • Ilmumisaeg: 25-Sep-2023
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-13: 9780367855307
  • Taylor & Francis e-raamat
  • Hind: 81,24 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 116,05 €
  • Säästad 30%
  • Formaat: 438 pages, 2 Tables, black and white; 12 Illustrations, black and white
  • Ilmumisaeg: 25-Sep-2023
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-13: 9780367855307
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
Sction I. Pure Bayesianism.
1. On A Transformative Journey.
2. Bayes
Theorem.
3. Logically Speaking...
4. Lets Generalize!
5. All Hail
Prejudices.
6. The Bayesian Prophets.
7. Solomonoffs Demon. Section II.
Applied Bayesianism.
8. Can You Keep A Secret?
9. Game, Set and Math.
10.
Will Darwin Select Bayes?
11. Exponentially Counter-Intuitive.
12. Ockham
Cuts to the Chase.
13. Facts Are Misleading. Section III. Pragmatic
Bayesianism.
14. Quick And Not Too Dirty.
15. Wish Me Luck.
16. Down Memory
Lane.
17. Lets Sleep On It.
18. The Unreasonable Effectiveness of
Abstraction.
19. The Bayesian Brain. Section IV. Beyond Bayesianism.
20.
Its All Fiction.
21. Exploring The Origins Of Beliefs.
22. Beyond
Bayesianism.
Lê Nguyên 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.