Topics in Statistics: Statistical Learning Theory's Full Profile
The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empirical process theory.
Feb 01, 2007
to May 25, 2007
Days of the Week:
Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
- Level of Difficulty: Beginner
- Size: Massive Open Online Course
- Instructor: Prof. Dmitry Panchenko
- Cost: Free
- Institution: MIT OCW
- Topics: Machine Learning
About MIT OCW:
MIT OpenCourseWare (OCW) is a web-based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.
MIT OCW Offers Courses In:
Questions about Topics in Statistics: Statistical Learning Theory
Want more info about Topics in Statistics: Statistical Learning Theory?
Get free advice from education experts and Noodle community members.
MIT OpenCourseWare (MIT OCW) is an initiative of the Massachusetts Institute of Technology (MIT) to put all of the educational materials from its undergraduate- and graduate-level courses online, partly free and openly available to anyone, anywhere.