Ask HN: Good resources for learning about ML/AI?

Posted by aviraldg on Saturday March 02, 2013 @01:46PM
from the ask-hn dept.

Hey HN.

I've recently started learning about Machine Learning from Stanford's CS229 lecture videos and I was wondering if people with more experience could point me to (preferably free) supplementary resources for the same?

( 4 comments | 6 points | on HN )

Re:Ask HN: Good resources for learning about ML/AI? by glamp on Saturday March 02, 2013 @02:34PM (#5310692)

Berkley Course: http://alex.smola.org/teaching/berkeley2012/statistics.html

Scikit-Learn Docs: http://scikit-learn.org/dev/

Google Research: http://research.google.com/pubs/papers.html

Caltech Course: http://work.caltech.edu/telecourse.html

Basics in R: http://www.statmethods.net/advstats/glm.html

R packages for data science: http://blog.yhathq.com/posts/10-R-packages-I-wish-I-knew-abo...

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Re:Ask HN: Good resources for learning about ML/AI? by r41nbowcrash on Monday March 04, 2013 @03:21AM (#5317260)

Weka: http://www.cs.waikato.ac.nz/ml/weka/

Lets you test dozens of different algorithms on a given dataset, to see what works and what not, in like one evening.

Also success stories from Kaggle competition: http://blog.kaggle.com/category/dojo/

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Re:Ask HN: Good resources for learning about ML/AI? by m_ke on Saturday March 02, 2013 @07:15PM (#5311808)

http://videolectures.net/Top/Computer_Science/ has a ton of lectures and conference talks from the top researchers in ML and AI

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Re:Ask HN: Good resources for learning about ML/AI? by jclos on Saturday March 02, 2013 @08:10PM (#5312011)

Jenn Vaughan's class notes at http://www.cs.ucla.edu/~jenn/courses/F11.html are really good in my opinion.

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