Artificial intelligence and machine learning for business / (Record no. 194017)

MARC details
000 -LEADER
fixed length control field aam a22 4500
003 - CONTROL NUMBER IDENTIFIER
control field SPU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190824162139.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190824b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781999730345
Terms of availability 1940
040 ## - CATALOGING SOURCE
Original cataloging agency SPU
049 ## - LOCAL HOLDINGS (OCLC)
Holding library SPU_CHN
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA 347
Item number F56A 2018
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 234632
Personal name Finlay, Steven
245 ## - TITLE STATEMENT
Title Artificial intelligence and machine learning for business /
Statement of responsibility, etc. Steven Finlay
246 ## - VARYING FORM OF TITLE
Title proper/short title Artificial intelligence and machine learning for business: A no-nonsense guide to data driven technologies
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Relativistic,
Date of publication, distribution, etc. 2018
Place of publication, distribution, etc. Great Britain :
300 ## - PHYSICAL DESCRIPTION
Extent X, 182 p. ;
Dimensions 22 cm.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction page 1-5 -- 2. What are machine learning and artificial intelligence (AI)? page 6-18 -- 3. What do the scores generated by a predictive model represent? page 19-25 -- 4. Why use machine learning? What value does it add? page 26-30 -- 5. How does machine learning work? page 31-41 -- 6. Using a predictive model to make decisions page 42-46 -- 7. That's scorecards, but what about decision trees? page 47-52 -- 8. Neural networks and deep learning page 53-63 -- 9. Unsupervised and reinforcement learning page 64-76 -- 10. How to build a predictive model page 77-92 -- 11. Operationalizing machine learning page 93-104 -- 12. The relationship between big data and machine learning page 105-110 -- 13. Ethical, law and the GDPR page 111-124 -- 14. The cutting edge of machine learning page 125-133 -- 15. When can i buy a self-driving car? page 134-141 -- 16. Concluding remarks page 142
650 00 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 47448
Topical term or geographic name entry element NEURAL NETWORKS (COMPUTER SCIENCE)
650 00 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 54523
Topical term or geographic name entry element MACHINE LEARNING
650 00 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 212924
Topical term or geographic name entry element BIG DATA
650 00 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 38892
Topical term or geographic name entry element ARTIFICIAL INTELLIGENCE
650 00 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 39148
Topical term or geographic name entry element ARTIFICIAL INTELLIGENCE
General subdivision DATA PROCESSING
850 ## - HOLDING INSTITUTION
Holding institution SPU
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type General Book
998 ## - STAFF NAME (SPU)
ผู้ลงรายการ monthira 240819
ผู้วิเคราะห์รายการ monthira 240819
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification     General Books (ENGLISH) SPU Library, Chonburi campus SPU Library, Chonburi campus Floor 3: General Shelves (FOREIGN LANGUAGE) 24/08/2019 1940.00 TA 347 F56A 2018 B009075 30/08/2019 24/08/2019 General Book

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