Mathematical Analysis For Machine Learning And Data Mining
Author | : Dan A Simovici |
Publisher | : World Scientific |
Total Pages | : 985 |
Release | : 2018-05-22 |
ISBN-10 | : 9789813229709 |
ISBN-13 | : 9813229705 |
Rating | : 4/5 (705 Downloads) |
Download or read book Mathematical Analysis For Machine Learning And Data Mining written by Dan A Simovici and published by World Scientific. This book was released on 2018-05-22 with total page 985 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)