In this lecture, we will look at the logistic regression classifier, and how we can learn the classifier under the maximum likelihood and maximum a posteriori criteria. We will also see how the logistic regression classifier fits in the scheme of learning with loss minimization.
Lectures
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Video: lecture 1
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Older videos:
Links and Resources
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Chapter 6 of Tom Mitchell’s book
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Chapter 7 of A Course in Machine Learning by Hal Daume
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Chapters 2 and 3 of Pattern Classification by Duda, Hart and Stork