Difference between revisions of "Syllabus for Machine Learning 10-601 in Fall 2013"
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| 9/2 | No class - Labor day | | | 9/2 | No class - Labor day | | ||
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Revision as of 15:24, 31 July 2013
This is the syllabus for Machine Learning 10-601 in Fall 2013.
Contents
Prezi Overview of All the Topics in the Course
Schedule
| Date ! Topic ! Lecturer |
|---|
| No class - Labor day | |
| 10-601 Overview and Introduction to Probability | William |
| 10-601 Naive Bayes | William |
| 10-601 Perceptrons and Voted Perceptrons | William |
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:
