MARC details
| 000 -LEADER |
| fixed length control field |
01633nam a22002897i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20250826132923.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
250805s2024 ii a|||fr|||| 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9789355519818 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
EG-GaU |
| Transcribing agency |
EG-GaU |
| Modifying agency |
EG-GaU |
| Description conventions |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Edition number |
23 |
| Classification number |
006.31 |
| Item number |
B.M.O |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Baig, Mirza Rahim, |
| Relator term |
author. |
| 9 (RLIN) |
62945 |
| 245 10 - TITLE STATEMENT |
| Title |
Optimizing AI and Machine Learning Solutions : |
| Remainder of title |
byour ultimate guide to building high-impact ML/AI solutions / |
| Statement of responsibility, etc. |
Mirza Rahim Baig. |
| 250 ## - EDITION STATEMENT |
| Edition statement |
First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
New Delhi : |
| Name of producer, publisher, distributor, manufacturer |
BPB Publications, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
370 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Optimizing a Machine Learning/Artificial Intelligence solution -- ML problem formulation: setting the right objective -- Data collection and pre-processing -- Model evaluation and debugging -- Imbalanced machine learning -- Hyper-parameter tuning -- Parameter optimization algorithms -- Optimizing deep learning models -- Optimizing image models -- Optimizing natural language processing models -- Transfer learning.<br/> |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"Practical guide to building high-impact ML/AI solutions with optimization at each step: problem formulation, data preparation, model evaluation, hyperparameter tuning, deep learning, transfer learning, and real-world case studies." |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Machine learning. |
| 9 (RLIN) |
972 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Artificial intelligence. |
| 9 (RLIN) |
62943 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Data mining. |
| 9 (RLIN) |
61709 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |