MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01975nam a22002897i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250820112747.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250723s2023 ii ao||fr|||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789355513267 |
| 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 |
R.P.C |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rangarajan, Premkumar, |
| Relator term |
author. |
| 9 (RLIN) |
60485 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Cloud native AI and machine learning on AWS : |
| Remainder of title |
use SageMaker for building ML models, automate MLOps, and take advantage of numerous AWS AI services / |
| Statement of responsibility, etc. |
Premkumar Rangarajan, David Bounds. |
| 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 |
$bBPB Publications, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
400 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 |
505 0\$a1. Introducing the ML Workflow ‡ 2. Hydrating the Data Lake ‡ 3. Predicting the Future With Features ‡ 4. Orchestrating the Data Continuum ‡ 5. Casting a Deeper Net (Algorithms and Neural Networks) ‡ 6. Iteration Makes Intelligence (Model Training and Tuning) ‡ 7. Let George Take Over (AutoML in Action) ‡ 8. Blue or Green (Model Deployment Strategies) ‡ 9. Wisdom at Scale with Elastic Inference ‡ 10. Adding Intelligence with Sensory Cognition ‡ 11. AI for Industrial Automation ‡ 12. Operationalized Model Assembly (MLOps and Best Practices).<br/> |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This book guides data and cloud professionals to design, deploy, and manage end-to-end AI/ML systems on AWS using SageMaker, Comprehend, Rekognition, Lookout, and AutoML. It covers MLOps automation, neural networks, data lakes, operational best practices, and real-world case studies. :contentReference[oaicite:1]{index=1}<br/> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning |
| General subdivision |
Implementation. |
| 9 (RLIN) |
60427 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Cloud computing. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Authority record control number or standard number |
Bounds, David,$eauthor. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |