Statistical Learning Theory by Vladimir N. Vapnik

Statistical Learning Theory Reviews

• 
  Yan Zhu

  This work will become a master piece. However, it didn't get the appreciation it deserves nowadays. Yes this book is full of mathematical equations. However, if u go through the book carefully, u will notice that the author put a lot of efforts on the presentation. Given the topics and the depth covered, the book is very well organized: Big picture is frequently highlighted; deep insights r often shared around with each discussion; the proofs r crystal clean.
  
  To ppl who comments this book as crap, the best response is given by the author himself in Page 684 the last second paragraph! (Don't be afraid, no math there:))
• 
  Tarek Amr

  The author of this book is simply, 3ars! Well, for those who do not understand Arabic, 3ars is a curse word anyway. The point is, any bloddy bastard can group a bunch of mathematical equations and acronyms and call them a book, but a self-respecting author will exert some effort to glue them together with proper text that gives them meaning. This might be a very valuable book for statisticians, some might see it precise, but for me it is just crap!
• 
  Leonardo

  Vapnik es el padre de SVM. My respect
• 
  Robert

  "The Bible".
  
  Before Deep Learning a lot more people were concerned with Statistical Learning Theory.