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040 _aOCoLC-P
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_cOCoLC-P
020 _a9780367855307
_qelectronic book
020 _a0367855305
_qelectronic book
020 _a9781000063271
_qqelectronic book
020 _a1000063275
_qelectronic book
020 _a9781000063233
_qelectronic book
020 _a1000063232
020 _z0367428148
020 _z9780367428143
035 _a(OCoLC)1162366056
_z(OCoLC)1159162707
035 _a(OCoLC-P)1162366056
050 4 _aQA279.5
_b.H6313 2020
072 7 _aMAT
_x015000
_2bisacsh
072 7 _aMAT
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_2bisacsh
072 7 _aMAT
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072 7 _aPBB
_2bicssc
082 0 4 _a519.5/42
_223
100 1 _aHoang, Lê Nguyên,
_eauthor.
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.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC,
_c2020.
300 _a1 online resource
_billustrations (black and white)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _a"A Chapman & Hall book."
500 _aTranslation of: La formule du savoir : une philosophie unifiée du savoir fondée sur le théorème de Bayes.
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 _aThe 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
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aBayesian statistical decision theory.
650 0 _aKnowledge, Theory of.
650 0 _aMathematics
_xPhilosophy.
650 0 _aScience
_xMethodology.
650 7 _aMATHEMATICS / History & Philosophy
_2bisacsh
650 7 _aMATHEMATICS / Probability & Statistics / Bayesian Analysis
_2bisacsh
650 7 _aMATHEMATICS / Recreations & Games
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780367855307
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c126202
_d126202