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

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[http://prezi.com/tneo-hju3esr/?utm_campaign=share&utm_medium=copy&rc=ex0share Link to Prezi Overview]
 
[http://prezi.com/tneo-hju3esr/?utm_campaign=share&utm_medium=copy&rc=ex0share Link to Prezi Overview]
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=== Schedule ===
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{|
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|+ Schedule for 10-601 in Fall 2013
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! Date  ! Topic !  Lecturer
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| 9/2 | No class - Labor day |
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|-
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| 9/4 | [[10-601 Overview and Introduction to Probability]] | William
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|-
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| 9/9 | [[10-601 Naive Bayes]] | William
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|-
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| 9/11 | [[10-601 Perceptrons and Voted Perceptrons]] | William
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|-
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|}
  
 
== Section-by-Section ==
 
== Section-by-Section ==

Revision as of 15:24, 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 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:

Summary:

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