Difference between revisions of "10-601 DR"
From Cohen Courses
Jump to navigationJump to search| Line 1: | Line 1: | ||
| − | This a lecture used in the [[Syllabus for Machine Learning 10-601]] | + | This a lecture used in the [[Syllabus for Machine Learning 10-601 in Fall 2014]] |
=== Slides === | === Slides === | ||
Revision as of 17:37, 21 July 2014
This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014
Slides
Readings
- PCA
- Bishop's 12.1
- There is a tutorial description of PCA also here: Shlens, Jonathon. "A tutorial on principal component analysis." Systems Neurobiology Laboratory, University of California at San Diego (2005).
- Manifold learning
