Difference between revisions of "10-601 Linear Regression"
From Cohen Courses
Jump to navigationJump to search (→Slides) |
|||
| Line 8: | Line 8: | ||
=== Readings === | === Readings === | ||
| − | * | + | * Mitchell 4.1-4.3 |
=== What You Should Know Afterward === | === What You Should Know Afterward === | ||
Revision as of 10:39, 16 September 2014
This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014
Slides
- Ziv's lecture: Slides in pdf.
- William's lecture: Slides in Powerpoint.
Readings
- Mitchell 4.1-4.3
What You Should Know Afterward
- Regression vs. classification
- Solving regression problems with 1 and 2 variables
- General least squares solution to linear regression problems
- Data transformation and its impact on the way LR is solved
