| 000 | 02910cam a22003258i 4500 | ||
|---|---|---|---|
| 001 | 21440661 | ||
| 005 | 20250224105845.0 | ||
| 008 | 200127s2020 flu b 001 0 eng | ||
| 010 | _a 2019060130 | ||
| 020 |
_a9780367428150 _q(hardback) |
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| 040 |
_aLBSOR/DLC _beng _erda _cDLC |
||
| 041 | 1 |
_aeng _hfre |
|
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA279.5 _b.H63 2020 |
| 082 | 0 | 0 |
_a519.542 _223 |
| 100 | 1 |
_aHoang, Lê Nguyên, _eauthor. _95295 |
|
| 240 | 1 | 0 |
_aFormule du savoir. _lEnglish. |
| 245 | 1 | 4 |
_aThe equation of knowledge : _bfrom Bayes' rule to a unified philosophy of science / _cLê Nguyên Hoang. |
| 263 | _a2006 | ||
| 260 | 1 |
_aBoca Raton : _bC&H/CRC Press, _c2020. |
|
| 300 | _apages cm | ||
| 500 | _aTranslation of: La formule du savoir : une philosophie unifiée du savoir fondée sur le théorème de Bayes | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aForeword / Gilles Dowek -- On a transformative journey -- Bayes theorem -- Logically speaking... -- Let's generalize! -- All hail prejudices -- The Bayesian prophets -- Solomonoff's demon -- Can you keep a secret? -- Game, set and math -- Will Darwin select Bayes? -- Exponentially counter-intuitive -- Ockham cuts to the chase -- Facts are misleading -- Quick and not too dirty -- Wish me luck -- Down memory lane -- Let's sleep on it -- The unreasonable effectiveness of abstraction -- The Bayesian brain -- It's all fictions -- Exploring the origins of beliefs -- Beyond Bayesianism. | |
| 520 |
_a"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"-- _cProvided by publisher. |
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| 650 | 0 |
_aBayesian statistical decision theory. _95296 |
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| 650 | 0 |
_aKnowledge, Theory of. _95297 |
|
| 650 | 0 |
_aMathematics _xPhilosophy. _95298 |
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| 650 | 0 |
_aScience _xMethodology. _95299 |
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| 999 |
_c679 _d679 |
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