18.657
Instructor: Philippe Rigollet Office: E17-316 Email: name [at] math . mit .edu 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. Prerequisites: Probability, Linear algebra, Real analysis. IMPORTANT DATES [11.18.15] Submit an advanced draft of your project by email. The project can be done in teams of 2 or 3. At this date, you should have more than just an idea but a concrete plan, including relevant literature review and preliminary results. If you are not sure that your project idea will be suitable for the class, please…
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