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Can I read AUTOMATED MACHINE LEARNING ON AWS : fast-track the development of your production-ready machine... learning applications the aws way on EtoBox?

AUTOMATED MACHINE LEARNING ON AWS : fast-track the development of your production-ready machine... learning applications the aws way by Trenton Potgieter; Jonathan Dahlberg is a nonfiction available to read on EtoBox.

What is AUTOMATED MACHINE LEARNING ON AWS : fast-track the development of your production-ready machine... learning applications the aws way about?

Automate the process of building, training, and deploying machine learning applications to production with AWS solutions such as SageMaker Autopilot, AutoGluon, Step Functions, Amazon Managed Workflows for Apache Airflow, and more Key Features Explore the various AWS services that make automated machine learning easier Recognize the role of DevOps and MLOps methodologies in pipeline automation Get acquainted with additional AWS services such as Step Functions, MWAA, and more to overcome automation challenges Book Description 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 SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on example

Who reads AUTOMATED MACHINE LEARNING ON AWS : fast-track the development of your production-ready machine... learning applications the aws way?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Trenton Potgieter; Jonathan Dahlberg
Publisher
Packt Publishing, Limited
Published
2022
Language
EN
ISBN
9781801814522
Category
nonfiction
Subjects
Science, Computer Science, Engineering

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