Difference between revisions of "10-601 Course Overview"

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=== Slides ===
 
=== Slides ===
  
[http://www.cs.cmu.edu/~wcohen/10-601/nina/intro-ml-601.pdf slides]
+
* [http://www.cs.cmu.edu/~wcohen/10-601/nina/intro-ml-601.pdf Slides in PDF]
  
 
=== Readings ===
 
=== Readings ===
  
 
* Mitchell: Chap 3
 
* Mitchell: Chap 3
 +
* Murphy: Chap 2
 
* Bishop: Ch 14.4
 
* Bishop: Ch 14.4
  
 
=== What You Should Know Afterward ===
 
=== 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
 
* Machine learning examples
 
* Well defined machine learning problem
 
* Well defined machine learning problem
 
* Decision tree learning
 
* Decision tree learning

Latest revision as of 13:06, 19 January 2016

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

Slides

Readings

  • Mitchell: Chap 3
  • Murphy: Chap 2
  • Bishop: Ch 14.4

What You Should Know Afterward

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