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Introduction To Machine Learning (Smola & Vishwanathan)

http://alex.smola.org/drafts/thebook.pdf

by helwr • 15 years ago

90 4 15 years ago

AL

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helwr2• 15 years ago

note that it's a draft and some pages are missing.

There is a course by one of the authors with good lecture notes: http://www.stat.purdue.edu/~vishy/introml/introml.html

shriphani• 15 years ago

I've found Andrew Ng's notes to be very comprehensive and very relevant to the topics discussed in his online lectures : http://academicearth.org/courses/machine-learning (the notes are linked to on the individual videos)

helwr2• 15 years ago

Also note that this book is not for the faint of heart.

For introductory material you may want to take a look at some of these courses:

Shalizi, 35-350: http://www.stat.cmu.edu/~cshalizi/350/

Shalizi, 36-402: http://www.stat.cmu.edu/~cshalizi/402/

Ng, CS229: http://www.stanford.edu/class/cs229/materials.html

Ng, CS294: http://www.stanford.edu/class/cs294a/

Roth, CS446: http://l2r.cs.uiuc.edu/~danr/Teaching/CS446-10/lectures.html

Jebara, COMS4771: http://www.cs.columbia.edu/~jebara/4771/handouts.html

Jebara, COMS6772: http://www.cs.columbia.edu/~jebara/6772/solutions.html

Jordan, CS294: http://www.cs.berkeley.edu/~jordan/courses/294-fall09/

Kumar, EECS6898: http://www.sanjivk.com/EECS6898/lectures.html

Collins, COMS6998: http://www.cs.columbia.edu/~mcollins/courses/e6998-3/index.h...

Jaakkola & Collins, 6.867: http://courses.csail.mit.edu/6.867/lectures.html

Hamilton, CS831: http://www2.cs.uregina.ca/~hamilton/courses/831/

Girolami, MLM: http://www.dcs.gla.ac.uk/~girolami/Machine_Learning_Module_2...

Bengio, IC-49: http://bengio.abracadoudou.com/lectures/

Lin, CMSC838: http://www.umiacs.umd.edu/~jimmylin/cloud-2010-Spring/syllab...

damienfir• 15 years ago

Thank you very much for these resources.

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