MARC details
| 000 -LEADER |
| fixed length control field |
01519nam a22002777i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20250722114304.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
250722b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9789391030421 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
EG-GaU |
| Transcribing agency |
EG-GaU |
| Modifying agency |
EG-GaU |
| Description conventions |
rda |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Edition number |
23 |
| Classification number |
006.3 |
| Item number |
k.a.p. |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Kumar, Alok, |
| Relator term |
author. |
| 9 (RLIN) |
60428 |
| 245 10 - TITLE STATEMENT |
| Title |
Practical full‑stack machine learning : |
| Remainder of title |
A guide to build reliable, reusable, and production‑ready full‑stack ML solutions / |
| Statement of responsibility, etc. |
Alok Kumar. |
| 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 |
2021. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
422 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
20 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. Organizing Your Data Science Project ‡ 2. Preparing Your Data Structure ‡ 3. Building Your ML Architecture ‡ 4. Bye‑Bye Scheduler, Welcome Airflow ‡ 5. Organizing Your Data Science Project Structure ‡ 6. Feature Store for ML ‡ 7. Serving ML as API.<br/> |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
Practical guide introducing production‑ready full‑stack ML pipelines using Python. Covers feature engineering, dataops, Airflow, Dask, MLflow, SageMaker, FastAPI, and scalable API deployment.:contentReference[oaicite:1]{index=1}<br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Machine learning |
| General subdivision |
Implementation. |
| 9 (RLIN) |
60427 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Python (Computer program language) |
| General subdivision |
Programming. |
| 9 (RLIN) |
60429 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |