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Mathematical Analysis for Machine Learning and Data Mining

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ISBN-10: 9813229683

ISBN-13: 9789813229686

Edition: 2018

Authors: Dan A. Simovici

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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.
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Book details

Copyright year: 2018
Publisher: World Scientific Publishing Co Pte Ltd
Binding: Hardcover
Pages: 880
Size: 6.25" wide x 9.25" long x 1.50" tall
Weight: 2.750
Language: English