Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Machine Learning with Amazon SageMaker Cookbook
Machine Learning with Amazon SageMaker Cookbook

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

eBook
$38.99 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Table of content icon View table of contents Preview book icon Preview Book

Machine Learning with Amazon SageMaker Cookbook

Left arrow icon Right arrow icon
Download code icon Download Code

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

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 29, 2021
Length: 762 pages
Edition : 1st
Language : English
ISBN-13 : 9781800566125
Category :
Languages :
Tools :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Product Details

Publication date : Oct 29, 2021
Length: 762 pages
Edition : 1st
Language : English
ISBN-13 : 9781800566125
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 158.97
Amazon SageMaker Best Practices
$48.99
Serverless Analytics with Amazon Athena
$54.99
Machine Learning with Amazon SageMaker Cookbook
$54.99
Total $ 158.97 Stars icon

Table of Contents

10 Chapters
Chapter 1: Getting Started with Machine Learning Using Amazon SageMaker Chevron down icon Chevron up icon
Chapter 2: Building and Using Your Own Algorithm Container Image Chevron down icon Chevron up icon
Chapter 3: Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker Chevron down icon Chevron up icon
Chapter 4: Preparing, Processing, and Analyzing the Data Chevron down icon Chevron up icon
Chapter 5: Effectively Managing Machine Learning Experiments Chevron down icon Chevron up icon
Chapter 6: Automated Machine Learning in Amazon SageMaker Chevron down icon Chevron up icon
Chapter 7: Working with SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor Chevron down icon Chevron up icon
Chapter 8: Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms Chevron down icon Chevron up icon
Chapter 9: Managing Machine Learning Workflows and Deployments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(9 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




Karan Jan 16, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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 Amazon
Shikhar Shah Dec 10, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
Retired Engineer Jan 04, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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 Verified review Amazon
Amazon Customer Dec 14, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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!
Amazon Verified review Amazon
Jerrod Estell Dec 10, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

How do I buy and download an eBook? Chevron down icon Chevron up icon

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

  • You may make copies of your eBook for your own use onto any machine
  • You may not pass copies of the eBook on to anyone else
How can I make a purchase on your website? Chevron down icon Chevron up icon

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

  1. Register on our website using your email address and the password.
  2. Search for the title by name or ISBN using the search option.
  3. Select the title you want to purchase.
  4. Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title. 
  5. Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook? Chevron down icon Chevron up icon
  • If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
  • To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
  • To view your account details or to download a new copy of the book go to www.packtpub.com/account
  • To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us
What eBook formats do Packt support? Chevron down icon Chevron up icon

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks? Chevron down icon Chevron up icon
  • You can get the information you need immediately
  • You can easily take them with you on a laptop
  • You can download them an unlimited number of times
  • You can print them out
  • They are copy-paste enabled
  • They are searchable
  • There is no password protection
  • They are lower price than print
  • They save resources and space
What is an eBook? Chevron down icon Chevron up icon

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.