| 000 -LEADER |
|---|
| fixed length control field |
02288cam a2200313Mi 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
jomaaum |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250717120114.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
|---|
| fixed length control field |
m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
cr ||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210310s2021 mau fo 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781492079392 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.585 |
| Item number |
.F76 2021 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| Item number |
F858 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Fregly, Chris, |
| 9 (RLIN) |
46725 |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Data science on AWS |
| Remainder of title |
implementing end-to-end, continuous AI and machine learning pipelines / |
| Statement of responsibility, etc |
Chris Fregly, Antje Barth |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cambridge : |
| Name of publisher, distributor, etc |
O'Reilly, |
| Date of publication, distribution, etc |
2021 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xix, 500 p. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
|---|
| Terms governing access |
Available to OhioLINK libraries |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
|
|---|
| Topical term or geographic name as entry element |
Data Science |
| 9 (RLIN) |
46734 |
|
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
| 9 (RLIN) |
739 |
|
|---|
| Topical term or geographic name as entry element |
Cloud computing |
|
|---|
| Topical term or geographic name as entry element |
Data mining |
|
|---|
| Topical term or geographic name as entry element |
Business |
| General subdivision |
Data processing |
|
|---|
| Topical term or geographic name as entry element |
Management |
| General subdivision |
Data processing |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Barth, Antje, |
| Relator term |
author |
| 9 (RLIN) |
46726 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Book |
