Difference between revisions of "10-601 Course Overview"
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=== Slides === | === Slides === | ||
| − | * [http://www.cs.cmu.edu/~wcohen/10-601/ | + | * [http://www.cs.cmu.edu/~wcohen/10-601/nina/intro-ml-601.pdf Slides in PDF] |
| − | |||
=== Readings === | === Readings === | ||
| − | * Mitchell Chap | + | * Mitchell: Chap 3 |
| + | * Murphy: Chap 2 | ||
| + | * Bishop: Ch 14.4 | ||
=== What You Should Know Afterward === | === What You Should Know Afterward === | ||
| − | |||
| − | |||
* 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
