Equation of Knowledge

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A01=Le Nguyen Hoang
Author_Le Nguyen Hoang
Bayes' theorem
Bayesian Computation
Bayesian Credences
Bayesian Network
Bayesian Prediction
Bayesian prophets
Bayesianism
Cat Concept
Category=PBB
Category=PBCD
Category=PBT
CGP
Church Turing Thesis
cognitive modeling
Common Language
decision theory applications
Endogenous Stratification
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Hidden Variables
Higgs Boson
Kl Divergence
LDA
MCMC
Monty Hall
Nash Equilibria
Partition Function
philosophy of knowledge
philosophy of scientific knowledge integration
Popper's Philosophy
Popper’s Philosophy
Probabilistic Prediction
probabilistic reasoning
Quantum Field Theory
Sally Clark's Case
Sally Clark’s Case
scientific inference methods
Sgd
statistical learning techniques
taxis
Turing Machine
uncertainty quantification
Vice Versa
Violate

Product details

  • ISBN 9780367428150
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Jun 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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 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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