Trenton Potgieter 
Automated Machine Learning on AWS [EPUB ebook] 
Fast-track the development of your production-ready machine learning applications the AWS way

Ajutor

AWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you’ll learn how to automate a machine learning pipeline using the various AWS services.
Automated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you’ll become well versed with various AWS solutions such as Amazon Sage Maker Autopilot, Auto Gluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI/CD pipeline for the ML process and how the various CI/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You’ll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You’ll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI/CD pipeline using AWS CDK from the perspective of the platform engineering team.
By the end of this AWS book, you’ll be able to effectively automate a complete machine learning pipeline and deploy it to production.

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Limba Engleză ● Format EPUB ● Pagini 420 ● ISBN 9781801814522 ● Mărime fișier 9.6 MB ● Editura Packt Publishing ● Oraș San Antonio ● Țară US ● Publicat 2022 ● Descărcabil 24 luni ● Valută EUR ● ID 8338347 ● Protecție împotriva copiilor fără

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