Thursday, May 6th, 2010
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses unsupervised learning in the context of clustering, Jensen's inequality, mixture of Gaussians, and expectation-maximization.
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised ...
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Wednesday, May 5th, 2010
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his lecture about support vector machines, including soft margin optimization and kernels.
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised ...
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Monday, May 3rd, 2010
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on optimal margin classifiers, KKT conditions, and SUM duals.
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, ...
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