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Mentioned in 3 episodes

Probability Theory: The Logic of Science

The Logic of Science
Book •
E. T.

Jaynes's 'Probability Theory: The Logic of Science' offers a comprehensive and rigorous treatment of probability theory, emphasizing its logical foundations.

Jaynes argues that probability is not merely a measure of subjective belief or long-run frequencies, but rather a framework for logical reasoning under conditions of incomplete information.

The book presents a coherent and consistent approach to probability, integrating Bayesian methods and emphasizing the importance of prior knowledge in statistical inference.

It challenges traditional frequentist interpretations and provides a powerful alternative for scientific modeling and decision-making.

Jaynes's work has had a profound impact on various fields, including physics, statistics, and artificial intelligence.

Mentioned by

Mentioned in 3 episodes

Mentioned by
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Tim Scarfe
as a foundational text in Bayesian methods.
92 snips
Prof. BERT DE VRIES - ON ACTIVE INFERENCE
Mentioned by
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David Duvenaud
in relation to his Bayesian approach to machine learning.
15 snips
Top AI Professor Has 85% P(Doom) — David Duvenaud, Fmr. Anthropic Safety Team Lead
Recommended by
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Alexander Schekochihin
as a fantastic bedtime read.
Entropy: Gaining Knowledge by Admitting Ignorance
Mentioned by
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Aubrey Clayton
as a pivotal book that changed his perspective on probability and statistics.
Aubrey Clayton, "Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science" (Columbia UP, 2021)

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