Difference between revisions of "10-601 Course Overview"
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=== What You Should Know Afterward === | === What You Should Know Afterward === | ||
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* Machine learning examples | * Machine learning examples | ||
* Well defined machine learning problem | * Well defined machine learning problem | ||
* Decision tree learning | * Decision tree learning | ||
Revision as of 10:05, 14 January 2016
This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016
Slides
Readings
- Mitchell: Chap 3
- Bishop: Ch 14.4
What You Should Know Afterward
- Machine learning examples
- Well defined machine learning problem
- Decision tree learning
