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Mathematics

Linear algebra, real and complex analysis, topology, differential geometry, probability, combinatorics, and number theory.

18courses·132standalone talks·438total lectures

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All Mathematics438 Calculus & Analysis164 Linear Algebra107 Category Theory, Topos Theory & Set Foundations62 Topology & Geometry59 Probability & Information Theory39 Combinatorics & Graph Theory34 Control & Dynamical Systems31 Convex Optimization21 Formal Methods & Type Theory21 Number Theory & Abstract Algebra18 Statistical Learning & Causality9 Algorithmic Information & Coding Theory5 Cryptography4 Computational Complexity3

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Learning: Near Misses and Felicity Conditions in AI

Learning: Near Misses and Felicity Conditions in AI

Learning: Boosting Algorithms · Lec 3·One-Shot Learning · Patrick Winston · MIT

Patrick Winston

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46:54

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Systems & CS (461)Physics & Cosmology (414)AI & Machine Learning (219)History & Humanities (379)Philosophy & Ethics (266)Biology & Neuroscience (281)Economics & Finance (338)Algorithms & Theory (341)Engineering & Robotics (217)

Neuroscience & Cognition in Mathematics

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