Difference between revisions of "Syllabus for Machine Learning 10-601 in Fall 2013"
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Revision as of 15:36, 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 | Due assignment | New assignment |
---|---|---|---|---|
9/2 | No class - Labor day | |||
9/4 | Overview and Intro to Probability | William | ||
9/9 | The Naive Bayes algorithm | William | ||
9/11 | Logistic Regression | William | ||
9/16 | The Perceptron algorithm | William | ||
9/18 | ||||
9/23 | ||||
9/25 | ||||
9/30 | ||||
10/2 | ||||
10/7 | ||||
10/9 | ||||
10/14 | ||||
10/16 | ||||
10/21 | ||||
10/23 | ||||
10/28 | ||||
10/30 | ||||
11/4 | ||||
11/6 | ||||
11/11 | ||||
11/13 | ||||
11/18 | ||||
11/20 | ||||
11/25 | ||||
11/27 | Thanksgiving - class cancelled | |||
12/2 | ||||
12/4 |
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: