Algorithmic Aspects of Machine Learning
Free, no sign-up neededSpring 2015English
About this course
This course is organized around algorithmic issues that arise in machine learning. Modern machine learning systems are often built on top of algorithms that do not have provable guarantees, and it is the subject of debate when and why they work. In this class, we focus on designing algorithms whose performance we can rigorously analyze for fundamental machine learning problems.
Description from MIT OpenCourseWare.
Ways to take this course
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2015
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Fall 2009
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2002