Difference between revisions of "Syllabus for Machine Learning 10-601B in Spring 2016"
From Cohen Courses
Jump to navigationJump to searchLine 9: | Line 9: | ||
{| | {| | ||
|+ Schedule for 10-601 | |+ Schedule for 10-601 | ||
− | ! Date | + | ! Date |
− | ! Topic | + | ! Main Topic of Lecture |
! Lecturer | ! Lecturer | ||
! Assignment | ! Assignment |
Revision as of 15:17, 6 January 2016
This is the syllabus for Machine Learning 10-601 in Spring 2016.
Schedule
In ro
Teaching team: also see the Google Doc Spreadsheet
To other instructors: if you'd like to use any of the materials found here, you're absolutely welcome to do so, but please acknowledge their ultimate source somewhere.
Section-by-Section
Linear Classifiers
A probabilistic view of linear classification:
Another view of classification:
- 10-601 Introduction to Linear Algebra
- 10-601 Perceptrons and Voted Perceptrons
- 10-601 Voted Perceptrons and Support Vector Machines
Summary: