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9781000063233 - Lê Nguyên Hoang: The Equation of Knowledge - From Bayes' Rule to a Unified Philosophy of Science
Lê Nguyên Hoang

The Equation of Knowledge - From Bayes' Rule to a Unified Philosophy of Science

Lieferung erfolgt aus/von: Deutschland ~EN NW EB DL

ISBN: 9781000063233 bzw. 1000063232, vermutlich in Englisch, Taylor & Francis Ltd. neu, E-Book, elektronischer Download.

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The Equation of Knowledge: Sction I. Pure Bayesianism. 1. On A Transformative Journey. 2. Bayes Theorem. 3. Logically Speaking... 4. Let`s Generalize! 5. All Hail Prejudices. 6. The Bayesian Prophets. 7. Solomonoff`s 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. Let`s Sleep On It. 18. The Unreasonable Effectiveness of Abstraction. 19. The Bayesian Brain. Section IV. Beyond Bayesianism. 20. It`s All Fiction. 21. Exploring The Origins Of Beliefs. 22. Beyond Bayesianism. Englisch, Ebook.
2
9781000063233 - The Equation of Knowledge

The Equation of Knowledge

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN NW EB DL

ISBN: 9781000063233 bzw. 1000063232, in Englisch, neu, E-Book, elektronischer Download.

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Lieferung aus: Vereinigte Staaten von Amerika, In Stock, plus shipping.
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.
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