ISBN ISBN A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Customer Reviews. Great EBook Deal. Rated 5 out of 5. Rated 4 out of 5. LOVe the free textbook offer. Was searching the entire Internet, but finally got it for the best price.
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Submit your review. Contact Us. Have a question? Click here. Home page url. Michie, D. Spiegelhalter - Ellis Horwood The book provides a review of different approaches to classification, compares their performance on challenging data-sets, and draws conclusions on their applicability to realistic industrial problems.
A wide variety of approaches has been taken. MLAPP and other machine learning textbooksBy Sebastien Bratieres Disclaimer: I have worked with a draft of the book and been allowed to use the instructor's review copy for this review. I have bought the book from. I don't receive any compensation whatsoever for writing this review. I hope it will help you chose a machine learning textbook. Similar textbooks on statiAn astonishing machine learning book: intuitive, full of examples, fun to read but still comprehensive, strong and deep!
A great starting point for any university student -- and a must have for anybody in the field.
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