Mathematical Analysis For Machine Learning And Data Mining

by Dan A Simovici

Overview

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)

Product Details

ISBN-13:	9789813229686
Publisher:	World Scientific Publishing Company, Incorporated
Publication date:	07/12/2018
Pages:	984
Product dimensions:	6.00(w) x 9.00(h) x 2.00(d)