Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Mathematical analysis for machine learning and data mining/ by (Record no. 427827)

000 -LEADER
fixed length control field 01955nam a2200229 4500
003 - CONTROL NUMBER IDENTIFIER
control field ISI Library, Kolkata
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200623125623.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200623b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789813229686
040 ## - CATALOGING SOURCE
Original cataloging agency ISI Library
Language of cataloging English
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 006.3101515
Item number Si 593
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Simovici, Dan
Relator term author
245 10 - TITLE STATEMENT
Title Mathematical analysis for machine learning and data mining/ by
Statement of responsibility, etc Dan Simovici
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New Jersey:
Name of publisher, distributor, etc World Scientific,
Date of publication, distribution, etc [2018]
300 ## - PHYSICAL DESCRIPTION
Extent xv, 968 pages,
Dimensions 23cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface, <br/>Part I. Set-Theoretical and Algebraic Preliminaries<br/> Preliminaries<br/> Linear Spaces<br/> Algebra of Convex Sets<br/> Part II. Topology, <br/> Topology<br/> Metric Space Topologies<br/> Topological Linear Spaces<br/>Part III. Measure and Integration, <br/> Measurable Spaces and Measures<br/> Integration<br/>Part IV. Functional Analysis and Convexity, <br/> Banach Spaces<br/> Differentiability of Functions Defined on Normed Spaces<br/> Hilbert Spaces<br/> Convex Functions<br/>Part V. Applications, <br/> Optimization<br/> Iterative Algorithms<br/> Neural Networks<br/> Regression<br/> Support Vector Machines<br/>Bibliography,<br/> Index
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning-Mathematics
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining-Mathematics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books

No items available.

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