MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01552nam a22002777i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250819142751.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250723s ii ao||fr|||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789355513199 |
| 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 |
006.3 |
| Item number |
N.S.T |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Naik, Swapnali Joshi, |
| Relator term |
author. |
| 9 (RLIN) |
60501 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Think AI : |
| Remainder of title |
explore the flavours of machine learning, neural networks, computer vision and NLP with powerful Python libraries / |
| Statement of responsibility, etc. |
Swapnali Joshi Naik. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st 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 |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
274 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 bibliographical references.<br/> |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Introducing Artificial Intelligence ‡ 2. Essentials of Python and Data Analysis ‡ 3. Data Preparation and Machine Learning ‡ 4. Computer Vision using OpenCV ‡ 5. Fundamentals of Neural Networks and Deep Learning ‡ 6. Natural Language Processing.<br/> |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
A practical and fast‑paced guide covering multiple domains of AI including ML, Deep Learning, Computer Vision, and NLP using popular Python libraries (pandas, TensorFlow, scikit‑learn, OpenCV, NLTK), with real‑world examples and step‑by‑step code implementations.:contentReference[oaicite:0]{index=0}<br/> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |