Difference between revisions of "Class meeting for 10-605 Parallel Perceptrons 1"
From Cohen Courses
Jump to navigationJump to search (→Slides) |
|||
| Line 2: | Line 2: | ||
=== Slides === | === Slides === | ||
| + | |||
| + | Catchup from Tuesday: | ||
| + | |||
| + | * [http://www.cs.cmu.edu/~wcohen/10-605/sgd-part-=2.pptx Slides in Powerpoint] | ||
| + | * [http://www.cs.cmu.edu/~wcohen/10-605/sgd-part2.pdf Slides in PDF] | ||
| + | |||
| + | Perceptrons: | ||
* [http://www.cs.cmu.edu/~wcohen/10-605/mistake-bounds+struct-vp.pptx Slides in Powerpoint] | * [http://www.cs.cmu.edu/~wcohen/10-605/mistake-bounds+struct-vp.pptx Slides in Powerpoint] | ||
Revision as of 15:39, 6 October 2015
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Spring_2015.
Slides
Catchup from Tuesday:
Perceptrons:
Preparation for the Class
- Read my notes on the voted perceptron. Alternatively, or in addition, you can view the lecture for 10-601 from 9/22/14 or 9/23/14, which can be accessed via MediaTech.
- Optional reading: Freund, Yoav, and Robert E. Schapire. "Large margin classification using the perceptron algorithm." Machine learning 37.3 (1999): 277-296.
- Optional background on linear algebra, if you need it: Zico Kolter's linear algebra review lectures
