Course Description
Broadly speaking, Machine Learning refers to the automated identification of patterns in data. As such it has been a fertile ground for new statistical and algorithmic developments. The purpose of this course is to provide a mathematically rigorous introduction to these developments with emphasis on methods and their analysis.
You can read more about Prof. Rigollet’s work and courses on his website.
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As Taught In:  Fall 2015 
Level: 
Graduate

Learning Resource Types
notes
Lecture Notes
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Problem Sets with Solutions