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Machine Learning - Lecture 11

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Lecture 11 - Bayesian Statistics and Regularization, Applying Machine Learning Algorithms

Bayesian Statistics and Regularization, Online Learning, Advice for Applying Machine Learning Algorithms, Debugging/fixing Learning Algorithms, Diagnostics for Bias & Variance, Optimization Algorithm Diagnostics, Diagnostic Example - Autonomous Helicopter, Error Analysis, Getting Started on a Learning Problem

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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