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Mathematical Analysis For Machine Learning & Data Mining (Hardcover)

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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ConditionBrand New
Subject AreaData Storage, Data Analysis, Data Mining, Parallel Data Processing, Supercomputing, Computational Physics, Mathematical Analysis, Applied Mathematics, Scientific Computing, Information Science, Algebra, Linear Algebra
Publication NameMathematical Analysis for Machine Learning and Data Mining
PublisherWorld Industries Scientific Publishing Co Pte LTD
SubjectData Mining, Mathematics, Education, Computer Science, Science, Topology, Statistics, Books
Publication Year2018
TypeTextbook
FormatHardcover
LanguageEnglish
AuthorDan a Simovici
Educational LevelAdult & Further Education
FeaturesIllustrated
LevelIntermediate, Beginner, Advanced, Proficiency, Business, Technical
Country/Region of ManufactureUnited Kingdom
Number of Pages984 Pages

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