Search the Library Catalogue
000 -LEADER | |
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fixed length control field | 00886nam a2200193Ia 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240822s9999 xx 000 0 und d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781032067049 |
Paper back/Hardbound | hbk |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 155.28 |
Item number | CEJ |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Ceja, Garcia Enrique |
245 #0 - TITLE STATEMENT | |
Title | Behavior analysis with machine learning using R |
Statement of responsibility, etc | / Enrique Garcia Ceja |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher | Chapman & Hall |
Year of publication | c2022 |
Place of publication | London : |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xxxiii, 397 p. : |
Other physical details | ill. |
Dimensions | 24 cm. |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc | Includes index |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Analyse comportementale Informatique; Apprentissage automatique; Behavioral assessment Data processing |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | English Books |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Price effective from | Koha item type |
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Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 05.06.2024 | 9303.00 | 155.28 CEJ | 689441 | 22.08.2024 | Reference |