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Machine Learning - Lecture 9

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Lecture 9 - Bias-variance Tradeoff, Empirical Risk Minimization, The Union Bound, Hoeffding Inequality

Bias/variance Tradeoff, Empirical Risk Minimization (ERM), The Union Bound, Hoeffding Inequality, Uniform Convergence - The Case of Finite H, Sample Complexity Bound, Error Bound, Uniform Convergence Theorem & Corollary

Prof. Andrew Ng
CS229 Machine Learning
(Stanford University: Stanford Engineering Everywhere)
http://see.stanford.edu
Date accessed: 2009-05-07
License: Creative Commons Attribution 3.0

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