ramandeepsinghdhillon
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Data Science on AWS : Implementing End-To-End, Continuous AI and Machine...

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Brand New
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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN
9781492079392
Subject Area
Mathematics, Computers
Publication Name
Data Science on Aws : Implementing End-To-End, Continuous Ai and Machine Learning Pipelines
Publisher
O'reilly Media, Incorporated
Item Length
9.5 in
Subject
General, Databases / Data Warehousing, Computer Vision & Pattern Recognition
Publication Year
2021
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
1 in
Author
Chris Fregly, Antje Barth
Item Weight
25 Oz
Item Width
7.1 in
Number of Pages
521 Pages

About this product

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1492079391
ISBN-13
9781492079392
eBay Product ID (ePID)
25050371313

Product Key Features

Number of Pages
521 Pages
Publication Name
Data Science on Aws : Implementing End-To-End, Continuous Ai and Machine Learning Pipelines
Language
English
Subject
General, Databases / Data Warehousing, Computer Vision & Pattern Recognition
Publication Year
2021
Type
Textbook
Subject Area
Mathematics, Computers
Author
Chris Fregly, Antje Barth
Format
Trade Paperback

Dimensions

Item Height
1 in
Item Weight
25 Oz
Item Length
9.5 in
Item Width
7.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2021-444069
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3
Synopsis
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 up your 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
LC Classification Number
QA76.585

Item description from the seller

About this seller

ramandeepsinghdhillon

11 items sold

Joined Jul 2006
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