Data Science on AWS
Book • 2021
This book provides a comprehensive guide on how to apply the Amazon AI and ML stack to real-world use cases, including natural language processing, computer vision, and more.
It covers the complete model development lifecycle and offers insights into security best practices for data science projects.
The authors demonstrate how to reduce costs and improve performance using AWS services like SageMaker and Kinesis.
It covers the complete model development lifecycle and offers insights into security best practices for data science projects.
The authors demonstrate how to reduce costs and improve performance using AWS services like SageMaker and Kinesis.
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Sam Charrington
Chris Fregly
Antje Barth
Data Science on AWS with Chris Fregly and Antje Barth - #490
