Machine learning (Record no. 5830)
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000 -LEADER | |
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fixed length control field | 03078cam a2200481Mi 4500 |
001 - CONTROL NUMBER | |
control field | 9781003119258 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | FlBoTFG |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240213122831.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr |n||||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220708s2022 flu ob 001 0 eng d |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | OCoLC-P |
Language of cataloging | eng |
Transcribing agency | OCoLC-P |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781000737691 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1000737691 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781003119258 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1003119255 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781000737721 |
Qualifying information | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1000737721 |
Qualifying information | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9780367634537 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 0367634538 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1201/9781003119258 |
Source of number or code | doi |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1334658646 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC-P)1334658646 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | Q325.5 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | BUS |
Subject category code subdivision | 061000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM |
Subject category code subdivision | 037000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | MAT |
Subject category code subdivision | 004000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UYQ |
Source | bicssc |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3/1 |
Edition number | 23/eng/20211216 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Mirtaheri, Seyedeh Leili, |
Dates associated with a name | 1980- |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Machine learning |
Medium | [electronic resource] : |
Remainder of title | theory to applications / |
Statement of responsibility, etc. | Seyedeh Leili Mirtaheri, Assistant Professor, Electrical and Computer Engineering Department, Kharazmi University, Tehran, Reza Shahbazian, Department of Mathematics and Computer Science, University of Calabria, Italy. |
250 ## - EDITION STATEMENT | |
Edition statement | First edition. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Boca Raton : |
Name of producer, publisher, distributor, manufacturer | CRC Press, |
Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource |
520 ## - SUMMARY, ETC. | |
Summary, etc. | The book reviews core concepts of machine learning (ML) while focusing on modern applications. It is aimed at those who want to advance their understanding of ML by providing technical and practical insights. It does not use complicated mathematics to explain how to benefit from ML algorithms. Unlike the existing literature, this work provides the core concepts with emphasis on fresh ideas and real application scenarios. It starts with the basic concepts of ML and extends the concepts to the different deep learning algorithms. The book provides an introduction and main elements of evaluation tools with Python and walks you through the recent applications of ML in self-driving cars, cognitive decision making, communication networks, security, and signal processing. The concept of generative networks is also presented and focuses on GANs as a tool to improve the performance of existing algorithms. In summary, this book provides a comprehensive technological path from fundamental theories to the categorization of existing algorithms, covers state-of-the-art, practical evaluation tools and methods to empower you to use synthetic data to improve the performance of applications. |
588 ## - SOURCE OF DESCRIPTION NOTE | |
Source of description note | OCLC-licensed vendor bibliographic record. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | BUSINESS & ECONOMICS / Statistics |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | COMPUTERS / Machine Theory |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | MATHEMATICS / Arithmetic |
Source of heading or term | bisacsh |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Machine learning. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Materials specified | Taylor & Francis |
Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9781003119258">https://www.taylorfrancis.com/books/9781003119258</a> |
856 42 - ELECTRONIC LOCATION AND ACCESS | |
Materials specified | OCLC metadata license agreement |
Uniform Resource Identifier | <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a> |
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