Syllabus for Machine Learning 10-601 in Fall 2013
From Cohen Courses
This is the syllabus for Machine Learning 10-601 in Fall 2013.
Contents
Prezi Overview of All the Topics in the Course
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Schedule
| Date | Topic | Lecturer | Assignment |
|---|---|---|---|
| M 9/2 | No class - Labor day | ||
| W 9/4 | Overview and Intro to Probability | William | HW: worksheet on probabilities |
| M 9/9 | The Naive Bayes algorithm | William | |
| W 9/11 | The Perceptron algorithm | William | HW: Implement two learners |
| M 9/16 | The Perceptrons, SVMs, and other Margin Classifiers | William | |
| W 9/18 | Logistic Regression | William | HW: Implement two learners |
| M 9/23 | |||
| W 9/25 | |||
| M 9/30 | |||
| W 10/2 | |||
| M 10/7 | .... | Eric (William out) | |
| W 10/9 | ... | Eric (William out) | |
| M 10/14 | |||
| W 10/16 | |||
| M 10/21 | |||
| W 10/23 | |||
| M 10/28 | |||
| W 10/30 | |||
| M 11/4 | |||
| W 11/6 | |||
| M 11/11 | |||
| W 11/13 | ... | Eric (William out) | |
| M 11/18 | |||
| W 11/20 | |||
| M 11/25 | |||
| W 11/27 | No class - Thanksgiving | ||
| M 12/2 | |||
| W 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:
