Difference between revisions of "10-601 Course Overview"

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(Created page with "This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016 === Slides === * [http://www.cs.cmu.edu/~wcohen/10-601/prob-tour+bayes.pptx Slides in Pow...")
 
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=== Slides ===
 
=== Slides ===
  
* [http://www.cs.cmu.edu/~wcohen/10-601/prob-tour+bayes.pptx Slides in Powerpoint]
+
[http://www.cs.cmu.edu/~wcohen/10-601/nina/intro-ml-601.pdf slides]
* [http://www.cs.cmu.edu/~wcohen/10-601/prob-tour+bayes.pdf Slides in PDF]
 
  
 
=== Readings ===
 
=== Readings ===

Revision as of 11:04, 14 January 2016

This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016

Slides

slides

Readings

  • Mitchell Chap 1,2; 6.1-6.3.

What You Should Know Afterward

You should know the definitions of the following, and be able to use them to solve problems:

  • Machine learning examples
  • Well defined machine learning problem
  • Decision tree learning