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Machine Learning - Lecture 10

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Lecture 10 - Uniform Convergence, VC Dimension, Model Selection

Uniform Convergence - The Case of Infinite H, The Concept of 'Shatter' and VC Dimension, SVM Example, Model Selection, Cross Validation, Feature Selection

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

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