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Getting Started with Amazon SageMaker Studio
book

Getting Started with Amazon SageMaker Studio

by Michael Hsieh
March 2022
Beginner to intermediate
326 pages
6h 49m
English
Packt Publishing

Overview

Dive into the world of Amazon SageMaker Studio with this comprehensive guide designed to help you build, train, and deploy machine learning models in a seamless cloud environment. By mastering the features of SageMaker Studio, you will be well-equipped to efficiently manage the complete ML lifecycle and tackle real-world challenges in machine learning.

What this Book will help me do

  • Understand the entire machine learning workflow in Amazon SageMaker Studio, from data preparation to deployment.
  • Efficiently scale your machine learning workloads by leveraging the automated cloud capabilities of SageMaker Studio.
  • Explore hands-on examples with step-by-step guidance to build and train models effortlessly using SageMaker Studio's tools.
  • Learn to optimize and monitor your machine learning models for performance and reliability in production environments.
  • Gain expertise in implementing governance and MLOps best practices to maintain operational excellence in your projects.

Author(s)

Michael Hsieh is a seasoned data scientist and cloud solutions architect with expertise in large-scale machine learning model development. With a passion for teaching, Michael conveys complex concepts in a practical and approachable way, providing learners with the tools to succeed in this dynamic field. His work reflects real-world industry practices, making technical skills accessible for aspiring and experienced professionals alike.

Who is it for?

This book is tailored for data scientists and machine learning engineers who aspire to gain specialized knowledge in Amazon SageMaker Studio. Whether you're looking to jumpstart or enhance your ML projects, this book empowers readers with practical know-how and strategic insights. Some experience in machine learning concepts is assumed, but no prior expertise in SageMaker Studio or cloud technology is necessary. If you're eager to streamline your ML lifecycle workflows and scale efficiently in the cloud, this book is the perfect resource for you.

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Publisher Resources

ISBN: 9781801070157