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Mentioned in 1 episodes

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.

Mentioned by

Mentioned in 1 episodes

Mentioned by
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Chris Fregly
as one of his previous O'Reilly books he authored.
58 snips
Performance Optimization and Software/Hardware Co-design across PyTorch, CUDA, and NVIDIA GPUs
Mentioned by
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Sam Charrington
and discussed by
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Chris Fregly
and
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Antje Barth
as a guide to building and deploying data science projects on AWS.
Data Science on AWS with Chris Fregly and Antje Barth - #490

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