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4.0 out of 5 stars
Very Dense.,
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This review is from: Support Vector Machines (Information Science and Statistics) (Hardcover)
Not very useful as a practical guide to SVMs, but it delves very deep into the theory of SVMs. Be warned, this book is very mathematically dense.
4.0 out of 5 stars
Comprehensive and in-depth,
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This review is from: Support Vector Machines (Information Science and Statistics) (Hardcover)
This books goes deeper in statistical learning within the context of support vector machines. It is positioned as tutorial and may give more theoretical and implementation details on SVMs for those who have already some background. Nice book for those wishing to see internals (loss functions, feature spaces etc) of SVMs! For me it seems complementary to the book from Hastie "The Elements of Statistical Learning". May be not easy to read but packed with useful information!
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Support Vector Machines (Information Science and Statistics) by Ingo Steinwart (Hardcover - August 12, 2008)
$112.00 $88.48
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