Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Mastering Machine Learning on AWS
Mastering Machine Learning on AWS

Mastering Machine Learning on AWS: Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow

Arrow left icon
Profile Icon Dr. Saket S.R. Mengle Profile Icon Maximo Gurmendez
Arrow right icon
$17.99 $26.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (8 Ratings)
eBook May 2019 306 pages 1st Edition
eBook
$17.99 $26.99
Paperback
$38.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Dr. Saket S.R. Mengle Profile Icon Maximo Gurmendez
Arrow right icon
$17.99 $26.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (8 Ratings)
eBook May 2019 306 pages 1st Edition
eBook
$17.99 $26.99
Paperback
$38.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$17.99 $26.99
Paperback
$38.99
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

Mastering Machine Learning on AWS

Section 1: Machine Learning on AWS

The objective of this section is to introduce readers to machine learning in the context of AWS cloud computing and services. We expect our audience to have some basic knowledge of machine learning. However, we'll describe the nature of a typically successful machine learning project, and the challenges often faced. We will provide an overview of the different AWS services, along with examples of typical machine learning pipelines and the key aspects to consider in order to create smart AI-powered products.

This section contains the following chapter:

  • Chapter 1, Getting Started with Machine Learning for AWS
Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Build machine learning apps on AWS using SageMaker, Apache Spark, and TensorFlow
  • Learn model optimization and understand how to scale your models using simple and secure APIs
  • Develop, train, tune, and deploy neural network models to accelerate model performance in the cloud

Description

Amazon Web Services (AWS) is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud. As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis. By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.

Who is this book for?

This book is for data scientists, machine learning developers, deep learning enthusiasts and AWS users who want to build advanced models and smart applications on the cloud using AWS and its integration services. Some understanding of machine learning concepts, Python programming and AWS will be beneficial.

What you will learn

  • Manage AI workflows by using AWS cloud to deploy services that feed smart data products
  • Use SageMaker services to create recommendation models
  • Scale model training and deployment using Apache Spark on EMR
  • Understand how to cluster big data through EMR and seamlessly integrate it with SageMaker
  • Build deep learning models on AWS using TensorFlow and deploy them as services
  • Enhance your apps by combining Apache Spark and Amazon SageMaker

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : May 20, 2019
Length: 306 pages
Edition : 1st
Language : English
ISBN-13 : 9781789347500
Vendor :
Amazon
Category :
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 : May 20, 2019
Length: 306 pages
Edition : 1st
Language : English
ISBN-13 : 9781789347500
Vendor :
Amazon
Category :
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 $ 142.97
Hands-On Artificial Intelligence on Amazon Web Services
$48.99
Mastering Machine Learning on AWS
$38.99
AWS Certified Developer - Associate Guide
$54.99
Total $ 142.97 Stars icon
Banner background image

Table of Contents

22 Chapters
Section 1: Machine Learning on AWS Chevron down icon Chevron up icon
Getting Started with Machine Learning for AWS Chevron down icon Chevron up icon
Section 2: Implementing Machine Learning Algorithms at Scale on AWS Chevron down icon Chevron up icon
Classifying Twitter Feeds with Naive Bayes Chevron down icon Chevron up icon
Predicting House Value with Regression Algorithms Chevron down icon Chevron up icon
Predicting User Behavior with Tree-Based Methods Chevron down icon Chevron up icon
Customer Segmentation Using Clustering Algorithms Chevron down icon Chevron up icon
Analyzing Visitor Patterns to Make Recommendations Chevron down icon Chevron up icon
Section 3: Deep Learning Chevron down icon Chevron up icon
Implementing Deep Learning Algorithms Chevron down icon Chevron up icon
Implementing Deep Learning with TensorFlow on AWS Chevron down icon Chevron up icon
Image Classification and Detection with SageMaker Chevron down icon Chevron up icon
Section 4: Integrating Ready-Made AWS Machine Learning Services Chevron down icon Chevron up icon
Working with AWS Comprehend Chevron down icon Chevron up icon
Using AWS Rekognition Chevron down icon Chevron up icon
Building Conversational Interfaces Using AWS Lex Chevron down icon Chevron up icon
Section 5: Optimizing and Deploying Models through AWS Chevron down icon Chevron up icon
Creating Clusters on AWS Chevron down icon Chevron up icon
Optimizing Models in Spark and SageMaker Chevron down icon Chevron up icon
Tuning Clusters for Machine Learning Chevron down icon Chevron up icon
Deploying Models Built in AWS 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 Half star icon 4.3
(8 Ratings)
5 star 75%
4 star 0%
3 star 12.5%
2 star 0%
1 star 12.5%
Filter icon Filter
Top Reviews

Filter reviews by




Eduk79 Aug 29, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Awesome book! If you want to unleash the power of the AWS platform and use it for building and running ML models, then this book is definitely a must have. The authors give solid explanations and provide clear examples along the book, aiding the reader with downloadable Python notebooks that contribute to a better understanding of every topic. Mostly recommended for anyone trying to grasp the ML concepts and learn how to apply them to build real stuff.
Amazon Verified review Amazon
W. Simmons Jun 29, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is an excellent overview of all major machine learning techniques in AWS with practical examples. It contains a background on the math behind the machine learning as well as step-by-step guidance using helpful real-world examples. The examples are wide-ranging; They include text classification, customer segmentation, image recognition, recommendations, and natural language processing of text. I found examples to be thorough and helpful. The mathematical techniques covered range from Naive Bayes classification to deep learning.For data engineers, there is quite a bit of content on automation and tuning of the machine learning process, data pipelines, and cluster configurations. While it takes many years to become a master of practical applied machine learning on cloud, this book is a great way to get started. Highly recommended for current practitioners who want to learn more or beginners who are taking the dive into machine learning and AI on AWS!
Amazon Verified review Amazon
matteo Jun 09, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Ottimo libro scritto in modo molto comprensibile
Amazon Verified review Amazon
mr_anderson Jan 24, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great book for learning practical ML implementation on AWS.
Amazon Verified review Amazon
Snejana Sep 27, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a Data Science mentor, I always look for the best resource that can get aspiring data scientists ready to join the industry ranks. This book is excellent as it covers the content that is frequently pushed out of scope in the standard data science curriculum. Working with AWS services tends to be omitted and it leaves a gap in students preparedness. This addresses this gap and more! It also does not shy with Big Data by providing practical advice with distributed systems such as Spark, Presto, Hive and others. The content of the book is well thought and it will serve as a good reference to not only incoming data scientists and engineers, but also current professionals who would like to extend their knowledge.
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.