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18.657 Mathematics of Machine Learning | Mathematics

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.... Show More

Keywords:: Binary Classification, Probability and Statistics, Linear bandits, Concentration inequalities, Algorithms and Data Structures, VC inequality, VC theory, Mirror Descent, Adversarial bandits, Gradient Descent, Blackwell's approachability, Stochastic Bandits, Applied Mathematics

Disciplines:

Mathematics and Statistics / Mathematics

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More about this material

Material Type:: Online Course
Date Added to MERLOT:: May 12, 2016
Date Modified in MERLOT:: May 12, 2016
Author:: Unknown (Know the author?)
Submitter:: Barbra Bied Sperling

Primary Audience:: Graduate School
Technical Format:: Website
Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Accessibility Information Available:: Unknown
Creative Commons:: This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States