10-601 Course Overview

From Cohen Courses
Revision as of 10:09, 14 January 2016 by Tdick (talk | contribs) (→‎Slides)
Jump to navigationJump to search

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
Retrieved from "http://curtis.ml.cmu.edu/w/courses/index.php?title=10-601_Course_Overview&oldid=18243"