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

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| 9/4 | [[10-601 Overview and Introduction to Probability]] | William  
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| 9/9 | [[10-601 Naive Bayes]] | William
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| 9/11 | [[10-601 Perceptrons and Voted Perceptrons]] | William
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| 9/11 || [[10-601 Perceptrons and Voted Perceptrons]] || William
 
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Revision as of 15:27, 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
9/2 No class - Labor day
9/4 10-601 Overview and Introduction to Probability William
9/9 10-601 Naive Bayes William
9/11 10-601 Perceptrons and Voted Perceptrons William

Section-by-Section

Linear Classifiers

A probabilistic view of linear classification:

Another view of classification:

Summary:

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