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Key benefits

Perform ML experiments with built-in and custom algorithms in SageMaker

Explore proven solutions when working with TensorFlow, PyTorch, Hugging Face Transformers, and scikit-learn

Use the different features and capabilities of SageMaker to automate relevant ML processes

Description

Amazon SageMaker is a fully managed machine learning (ML) service that helps data scientists and ML practitioners manage ML experiments. In this book, you'll use the different capabilities and features of Amazon SageMaker to solve relevant data science and ML problems. This step-by-step guide features 80 proven recipes designed to give you the hands-on machine learning experience needed to contribute to real-world experiments and projects. You'll cover the algorithms and techniques that are commonly used when training and deploying NLP, time series forecasting, and computer vision models to solve ML problems. You'll explore various solutions for working with deep learning libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers in Amazon SageMaker. You'll also learn how to use SageMaker Clarify, SageMaker Model Monitor, SageMaker Debugger, and SageMaker Experiments to debug, manage, and monitor multiple ML experiments and deployments. Moreover, you'll have a better understanding of how SageMaker Feature Store, Autopilot, and Pipelines can meet the specific needs of data science teams. By the end of this book, you'll be able to combine the different solutions you've learned as building blocks to solve real-world ML problems.

Who is this book for?

This book is for developers, data scientists, and machine learning practitioners interested in using Amazon SageMaker to build, analyze, and deploy machine learning models with 80 step-by-step recipes. All you need is an AWS account to get things running. Prior knowledge of AWS, machine learning, and the Python programming language will help you to grasp the concepts covered in this book more effectively.

What you will learn

Train and deploy NLP, time series forecasting, and computer vision models to solve different business problems

Push the limits of customization in SageMaker using custom container images

Use AutoML capabilities with SageMaker Autopilot to create high-quality models

Work with effective data analysis and preparation techniques

Explore solutions for debugging and managing ML experiments and deployments

Deal with bias detection and ML explainability requirements using SageMaker Clarify

Automate intermediate and complex deployments and workflows using a variety of solutions

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$48.99

$54.99

Machine Learning with Amazon SageMaker Cookbook

$54.99

Total $ 158.97

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Amazon verified reviews

Karan Jan 16, 2022

The book's language is simple, easy to understand, and to follow, and provides a good platform for the data scientist, analysts, machine learning enthusiasts, project managers to have a hands-on experience on the SageMaker.This book gives a great platform using easy language, visual diagrams, practical exercises with step-by-step instructions, and video links for better understanding. The author and publisher both give full support for any doubt, questions, or clarification about the book or the concept.After completing this book, you will have the skillset and expertise for end-to-end usage and deployment of machine learning algorithms on the AWS platform.In short, a complete guide to understanding each and every detail of the AWS SageMaker platform.

Amazon Verified review

Shikhar Shah Dec 10, 2021

This is a great book to learn SageMaker by doing. It really helped me explore machine learning in cloud computing. The recipes are useful in making sure readers learn by doing.

Retired Engineer Jan 04, 2022

This is a great book for learning hands-on ML from the start. Also good support from publisher and the author. I had an issue with one of the experiments, got a swift email reply with directly relevant information to my issue.So far, not quite 1/2 way through the book, and my AWS costs are just a few dollars. Helpful pointers throughout book on how to control costs.

Amazon Customer Dec 14, 2021

Machine Learning with Amazon SageMaker Cookbook is a must-have book for data science/machine learning practitioners. Its content is very comprehensive as it covers ML implementations from easy to intermediate level, ranging from regression/classification to computer vision, NLP, and transfer learning on AWS. Besides, I appreciate the fact that this book was published relatively recently and that its code examples are easily executable based on the latest version of Amazon SageMaker (I am sure you understand the frustration of reading a techie book whose code examples are outdated that you must spend a lot of time on debugging). I also appreciate the fact that there are explanations to literally every line of the codes presented in this book so that I didn’t get confused and lost as I was trying out the codes in my machine. Here, I do have a suggestion to the potential readers: as AWS SageMaker has so many features and functionalities that even if this book has done its best in explaining most of them, I still find it hard to absorb all the concepts and methodologies at once; so I find it helpful to, instead of using this book as a textbook (like you need to understand almost everything to a point that you can pass the exam), use it as a dictionary to your day-to-day DS/ML practice, i.e. you can quickly skim through this book several times to have an idea of what each section of each chapter is about and what problem it teaches to solve, and then when you come across a problem in practice, you can quickly locate the relevant section in the book and attempt the codes directly. Overall, I enjoy this book very much and have kept it in my digital library that I can easily access and reference in my data science job!

Jerrod Estell Dec 10, 2021

This book is essential for SageMaker users. Each SageMaker algorithm is covered in detail with practical use cases making the book practical to pick up and flip to it for your implementation. 5/5.

Machine Learning with Amazon SageMaker Cookbook: 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

What do you get with eBook?