Machine Learning A Probabilistic Perspective Ebook

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CS281 Advanced Machine Learning (Fall 2013)

1.1 What is machine learning? Given a probabilistic output, we can always compute our “best guess” as to the “true label” using y? = f?(x)=argmaxC c=1



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CS281: Advanced Machine Learning (Fall 2013) Instructor: Prof. Ryan P. Adams Machine Learning: A Probabilistic Perspective Kevin P. Murphy, MIT Press, 2012.

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A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of

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This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches -which are based on optimization

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