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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. (Hardcover) New Condition!!
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book_bee_28 ( 300 ⭐ ) 99.5% Location: Plymouth , GB Accept Payments With , |
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Guarantee | eBay Money Back Guarantee |
Condition | Brand New |
Subject Area | Data Storage, Data Analysis, Data Mining, Parallel Data Processing, Supercomputing, Computational Physics, Mathematical Analysis, Applied Mathematics, Scientific Computing, Information Science, Algebra, Linear Algebra |
Publication Name | Mathematical Analysis for Machine Learning and Data Mining |
Publisher | World Industries Scientific Publishing Co Pte LTD |
Subject | Data Mining, Mathematics, Education, Computer Science, Science, Topology, Statistics, Books |
Publication Year | 2018 |
Type | Textbook |
Format | Hardcover |
Language | English |
Author | Dan a Simovici |
Educational Level | Adult & Further Education |
Features | Illustrated |
Level | Intermediate, Beginner, Advanced, Proficiency, Business, Technical |
Country/Region of Manufacture | United Kingdom |
Number of Pages | 984 Pages |
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