
Mathematical Analysis For Machine Learning And Data Mining
Dan A. Simovici(Author)
World Scientific Publishing Co Pte Ltd
Published on 12. July 2018
Book
Hardback
984 pages
978-981-322-968-6 (ISBN)
Description
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. Related Link(s)
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 57 mm
Weight
1548 gr
ISBN-13
978-981-322-968-6 (9789813229686)
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Schweitzer Classification