Data Science on AWS

Data Science on AWS

  • Downloads:2050
  • Type:Epub+TxT+PDF+Mobi
  • Create Date:2021-03-08 04:23:12
  • Update Date:2025-09-06
  • Status:finish
  • Author:Chris Fregly
  • ISBN:1492079391
  • Environment:PC/Android/iPhone/iPad/Kindle

Summary

If you use data to make critical business decisions, this book is for you。 Whether you’re a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale。

The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role。 Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days。

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Reviews

Xianshun Chen

Pretty good on the part such as how to use SageMaker Studio and AutoPilot as well as Athena The later chapters on BERT and tensorflow is not easy to follow as the book is still in its early release。 Also the SageMaker's ScriptProcessor to run Spark jobs need more effort to make the examples runnable。 Pretty good on the part such as how to use SageMaker Studio and AutoPilot as well as Athena The later chapters on BERT and tensorflow is not easy to follow as the book is still in its early release。 Also the SageMaker's ScriptProcessor to run Spark jobs need more effort to make the examples runnable。 。。。more