Mathematical Analysis For Machine Learning And Data Mining
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A01=Dan A Simovici
Author_Dan A Simovici
Banach Spaces
Category=UYQM
Convexity
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Hilbert Spaces
Measure Theory
Neural Networks
Optimization
Regression
Support Vector Machines
Product details
- ISBN 9789813229686
- Publication Date: 12 Jul 2018
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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. Related Link(s)
