MARC details
000 -LEADER |
fixed length control field |
01742nam a22002897a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
BD-DhULA |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240116093614.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240116b ii ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9789355421982 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9355421982 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
BD-DhULA |
Transcribing agency |
BD-DhULA |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Edition number |
23 |
Classification number |
005.262 |
Item number |
GEH |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Geron, Aurelien |
9 (RLIN) |
1577 |
245 ## - TITLE STATEMENT |
Title |
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : |
Remainder of title |
concepts, tools, and techniques to build intelligent systems / |
Statement of responsibility, etc. |
by Aurelien Geron |
250 ## - EDITION STATEMENT |
Edition statement |
3rd ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Mumbai, India : |
Name of publisher, distributor, etc. |
O'Reilly, |
Date of publication, distribution, etc. |
c2023. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxv, 834 p. : |
Other physical details |
ill. ; |
Dimensions |
23 cm. |
500 ## - GENERAL NOTE |
General note |
Includes index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started."-- Page 4 of cover |
526 ## - STUDY PROGRAM INFORMATION NOTE |
Program name |
CSE |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Python |
9 (RLIN) |
1578 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Machine learning. |
9 (RLIN) |
1579 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Artificial intelligence. |
9 (RLIN) |
1580 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
CSE |
9 (RLIN) |
260 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Computer Science and Engineering |
9 (RLIN) |
477 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
BOOK |
Suppress in OPAC |
No |