機器學習參考資料

張貼日期：Jun 20, 2011 9:15:6 AM

URLs related to the review of textbooks:

http://www.cs.ubc.ca/~murphyk/Teaching/CS540_Fall05/review.txt

http://metaoptimize.com/qa/questions/186/good-freely-available-textbooks-on-machine-learning

URLs of ML courses:

Stanford: http://see.stanford.edu/see/courseInfo.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1 (with video lecture, handouts, etc)

MIT: http://www.ai.mit.edu/courses/6.867-f03/lectures.html

MIT Open Courseware: http://ocw.mit.edu/courses/mathematics/18-465-topics-in-statistics-statistical-learning-theory-spring-2007/

Buffalo: http://www.cedar.buffalo.edu/~srihari/CSE574/

Cambridge: http://learning.eng.cam.ac.uk/zoubin/ml06/index.html

Berkeley: http://www.cs.berkeley.edu/~jordan/courses/281B-spring04/

UIUC: https://netfiles.uiuc.edu/jimarden/www/Classes/STAT578/ (no transparency)

UIUC: http://www.cs.uiuc.edu/class/fa06/cs446/

URLs of ML Textbooks:

http://www-stat.stanford.edu/~tibs/ElemStatLearn/ by Hastie, (free download)

http://www.cs.cmu.edu/~tom/mlbook.html by Tom Mitchell (have to buy his book, but the transparencies are available)