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Lecture 9 - Bias/variance Tradeoff

Lecture 9 - Bias/variance Tradeoff

This video was recorded at Stanford Engineering Everywhere CS229 - Machine Learning. 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

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