Difference between revisions of "Syllabus for Machine Learning 10-601 in Fall 2013"

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| 9/9 || [[10-601 Naive Bayes|The Naive Bayes algorithm]] || William
 
| 9/9 || [[10-601 Naive Bayes|The Naive Bayes algorithm]] || William
 
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| 9/11 || [[10-601 Perceptrons and Voted Perceptrons|The Perceptron algorithm]] || William
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| 9/11 || [[10-601 Logistic Regression|Logistic Regression]] || William
 
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|-  
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| 9/16 || [[10-601 Logistic Regression|Logistic Regression]] || William
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| 9/16 || [[10-601 Perceptrons and Voted Perceptrons|The Perceptron algorithm]] || William
 
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Revision as of 15:36, 31 July 2013

This is the syllabus for Machine Learning 10-601 in Fall 2013.

Prezi Overview of All the Topics in the Course

Link to Prezi Overview

Schedule

Schedule for 10-601 in Fall 2013
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:

Summary:

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