4 ms·

Which ML book would you recommend?

• maurycy 12y ago
  It depends on your math background, but I've found Yaser S. Abu-Mostafa's Learning From Data the best, although Christopher M. Bishop's Pattern Recognition and Machine Learning is the gold standard. ;-)
  • deleted 12y ago
    [deleted]
• maurits 12y ago
  The most popular choices seem to be: Machine Learning: a Probabilistic Perspective, by Murphy http://www.cs.ubc.ca/~murphyk/MLbook/ http://www.cs.ubc.ca/~murphyk/MLbook/ Pattern classification, by Duda et all http://www.amazon.com/Pattern-Classification-Pt-1-Richard-Duda/dp/0471056693 http://www.amazon.com/Pattern-Classification-Pt-1-Richard-Du... The Elements of Statistical Learning, by Hastie et all. It is free from Stanford. http://www-stat.stanford.edu/~tibs/ElemStatLearn http://www-stat.stanford.edu/~tibs/ElemStatLearn Mining of Massive Datasets, free from Stanford. http://infolab.stanford.edu/~ullman/mmds.html http://infolab.stanford.edu/~ullman/mmds.html Bayesian Reasoning and Machine Learning, by Barber, free available online. http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=... Learning from data, by Abu-Mostafa. It comes with Caltech video lectures: http://work.caltech.edu/telecourse.html http://work.caltech.edu/telecourse.html Pattern Recognition and Machine Learning, by Bischop http://research.microsoft.com/en-us/um/people/cmbishop/prml/ http://research.microsoft.com/en-us/um/people/cmbishop/prml/ Also noteworthy Information Theory, Inference, and Learning Algorithms, by Mackay, free. http://www.inference.phy.cam.ac.uk/itprnn/book.html http://www.inference.phy.cam.ac.uk/itprnn/book.html Classification, Parameter Estimation and State Estimation, by van der Heijden. http://prtools.org http://prtools.org Computer Vision: Models, Learning, and Inference, by Prince, available for free http://www.computervisionmodels.com/ http://www.computervisionmodels.com/ Probabilistic Graphical Models, by Koller. Has an accompanying course on Coursera.
  • simplekoala 12y ago
    There was post on HN of a blog post link which contained a list of all free machine learning/data mining books. Wondering, if someone can post the link to it. I am unable to find it through search.
    • craigching 12y ago
      This one? http://christonard.com/12-free-data-mining-books/ http://christonard.com/12-free-data-mining-books/
      • gtani 12y ago
        or this which includes good backgrounders on lin.alg, probability and stat, http://www.reddit.com/r/MachineLearning/comments/1jeawf/machine_learning_books/ http://www.reddit.com/r/MachineLearning/comments/1jeawf/mach... Or http://www.electronicsforu.com/newelectronics/articles/hitscc.asp?id=12580&group_type=cool_stuff http://www.electronicsforu.com/newelectronics/articles/hitsc... this is an excellent review (but doesn't cover books by Mohri, Rostamizadeh, Talwalkar and Abu-Mostafa , Magdon-Ismail, Lin: http://www.amazon.com/review/R32N9EIEOMIPQU/ref=cm_cr_pr_perm?ie=UTF8&ASIN=0262018020 http://www.amazon.com/review/R32N9EIEOMIPQU/ref=cm_cr_pr_per...
      • simplekoala 12y ago
        yes, yes. Thanks!
  • syvlo 12y ago
    If you can afford it (both financially and regarding math background), Bishop is a really great choice. Almost everything you need to know is in it. I have it and just love it! But he goes quite deep in the mathematical explanations (which is a great point, there is no better way to learn and understand) meaning you have to be willing to work on your math for this book.