Mathematical analysis for machine learning and data mining/ by (Record no. 427827)
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| 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 | Dewey Decimal Classification |
| Koha item type | Books |
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