6.867 | Fall 2006 | Graduate

Machine Learning

Lecture Notes



Lecture notes on model selection criteria, feature subset selection, information criterion, conditional log-likelihood and description length, regularization, combination of classifiers, and boosting.

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Lecture Notes

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Problem Sets with Solutions
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Lecture Notes