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Introduction To Machine Learning (Smola & Vishwanathan)
- helwr 15y agonote 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 http://www.stat.purdue.edu/~vishy/introml/introml.html
- shriphani 15y agoI'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 http://academicearth.org/courses/machine-learning (the notes are linked to on the individual videos)
- helwr 15y agoAlso 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/ http://www.stat.cmu.edu/~cshalizi/350/ Shalizi, 36-402: http://www.stat.cmu.edu/~cshalizi/402/ http://www.stat.cmu.edu/~cshalizi/402/ Ng, CS229: http://www.stanford.edu/class/cs229/materials.html http://www.stanford.edu/class/cs229/materials.html Ng, CS294: http://www.stanford.edu/class/cs294a/ http://www.stanford.edu/class/cs294a/ Roth, CS446: http://l2r.cs.uiuc.edu/~danr/Teaching/CS446-10/lectures.html http://l2r.cs.uiuc.edu/~danr/Teaching/CS446-10/lectures.html Jebara, COMS4771: http://www.cs.columbia.edu/~jebara/4771/handouts.html http://www.cs.columbia.edu/~jebara/4771/handouts.html Jebara, COMS6772: http://www.cs.columbia.edu/~jebara/6772/solutions.html http://www.cs.columbia.edu/~jebara/6772/solutions.html Jordan, CS294: http://www.cs.berkeley.edu/~jordan/courses/294-fall09/ http://www.cs.berkeley.edu/~jordan/courses/294-fall09/ Kumar, EECS6898: http://www.sanjivk.com/EECS6898/lectures.html http://www.sanjivk.com/EECS6898/lectures.html Collins, COMS6998: http://www.cs.columbia.edu/~mcollins/courses/e6998-3/index.html http://www.cs.columbia.edu/~mcollins/courses/e6998-3/index.h... Jaakkola & Collins, 6.867: http://courses.csail.mit.edu/6.867/lectures.html http://courses.csail.mit.edu/6.867/lectures.html Hamilton, CS831: http://www2.cs.uregina.ca/~hamilton/courses/831/ http://www2.cs.uregina.ca/~hamilton/courses/831/ Girolami, MLM: http://www.dcs.gla.ac.uk/~girolami/Machine_Learning_Module_2006/ http://www.dcs.gla.ac.uk/~girolami/Machine_Learning_Module_2... Bengio, IC-49: http://bengio.abracadoudou.com/lectures/ http://bengio.abracadoudou.com/lectures/ Lin, CMSC838: http://www.umiacs.umd.edu/~jimmylin/cloud-2010-Spring/syllabus.html http://www.umiacs.umd.edu/~jimmylin/cloud-2010-Spring/syllab...
- damienfir 15y agoThank you very much for these resources.
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