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Mathematical Analysis for Machine Learning and Data Mining

by Simovici Dan

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Book Overview This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mat...

This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book.

Book Details Format: Hardcover | Pages: 968 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9813229683
FormatHardcover
Pages968
LanguageEnglish
ISBN9813229683
EAN9789813229686
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date1970-01-01
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight3.25 Pounds
Length9.0 Inches
Width6.0 Inches
Height2.0 Inches
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