Difference between revisions of "10-601 Course Overview"
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=== Readings === | === Readings === | ||
| − | * Mitchell Chap | + | * Mitchell: Chap 3 |
| + | * Bishop: Ch 14.4 | ||
=== What You Should Know Afterward === | === What You Should Know Afterward === | ||
Revision as of 10:04, 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
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
