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. (Hardcover) (SUMMER SALE! ***)
Price: 112.4 GBP
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Subject Area: Mathematical Analysis, Data Storage, Data Analysis, Data Mining
Features: Illustrated
Country/Region of Manufacture: United Kingdom
Author: Dan a Simovici
Publication Name: Mathematical Analysis for Machine Learning and Data Mining
Format: Hardcover
Language: English
Publisher: World Industries Scientific Publishing Co Pte LTD
Subject: Computer Science
Publication Year: 2018
Type: Textbook
Number of Pages: 984 Pages
