2013-2014 2014-2015 2015-2016 2016-2017 2017-2018
Browse
by subject...
    Schedule
view...
 

1 - 1 of 1 results for: CS 369L: Theoretical Perspective on Machine Learning

CS 369L: Theoretical Perspective on Machine Learning

Many problems in machine learning are intractable in the worst case, and pose a challenge for the design of algorithms with provable guarantees. In this course, we will discuss several success stories at the intersection of algorithm design and machine learning, focusing on devising appropriate models and mathematical tools to facilitate rigorous analysis. Prerequisites: A strong background in algorithms, probability and linear algebra.
Terms: Aut | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Charikar, M. (PI)
Filter Results:
term offered
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints