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Automated Machine Learning with Microsoft Azure
Automated Machine Learning with Microsoft Azure

Automated Machine Learning with Microsoft Azure: Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

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Profile Icon Dennis Michael Sawyers Profile Icon Dennis Sawyers
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$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (18 Ratings)
Paperback Apr 2021 340 pages 1st Edition
eBook
$39.99
Paperback
$48.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Dennis Michael Sawyers Profile Icon Dennis Sawyers
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (18 Ratings)
Paperback Apr 2021 340 pages 1st Edition
eBook
$39.99
Paperback
$48.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$39.99
Paperback
$48.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Create, deploy, productionalize, and scale automated machine learning solutions on Microsoft Azure
  • Improve the accuracy of your ML models through automatic data featurization and model training
  • Increase productivity in your organization by using artificial intelligence to solve common problems

Description

Automated Machine Learning with Microsoft Azure will teach you how to build high-performing, accurate machine learning models in record time. It will equip you with the knowledge and skills to easily harness the power of artificial intelligence and increase the productivity and profitability of your business. Guided user interfaces (GUIs) enable both novices and seasoned data scientists to easily train and deploy machine learning solutions to production. Using a careful, step-by-step approach, this book will teach you how to use Azure AutoML with a GUI as well as the AzureML Python software development kit (SDK). First, you'll learn how to prepare data, train models, and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS). Finally, you will be able to use AutoML on your own data to not only train regression, classification, and forecasting models but also use them to solve a wide variety of business problems. By the end of this Azure book, you'll be able to show your business partners exactly how your ML models are making predictions through automatically generated charts and graphs, earning their trust and respect.

Who is this book for?

Data scientists, aspiring data scientists, machine learning engineers, or anyone interested in applying artificial intelligence or machine learning in their business will find this machine learning book useful. You need to have beginner-level knowledge of artificial intelligence and a technical background in computer science, statistics, or information technology before getting started. Familiarity with Python will help you implement the more advanced features found in the chapters, but even data analysts and SQL experts will be able to train ML models after finishing this book.

What you will learn

  • Understand how to train classification, regression, and forecasting ML algorithms with Azure AutoML
  • Prepare data for Azure AutoML to ensure smooth model training and deployment
  • Adjust AutoML configuration settings to make your models as accurate as possible
  • Determine when to use a batch-scoring solution versus a real-time scoring solution
  • Productionalize your AutoML and discover how to quickly deliver value
  • Create real-time scoring solutions with AutoML and Azure Kubernetes Service
  • Train a large number of AutoML models at once using the AzureML Python SDK

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 23, 2021
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781800565319
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Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Apr 23, 2021
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781800565319
Category :
Languages :
Tools :

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Frequently bought together


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Total $ 152.97
Azure Data Engineering Cookbook
$48.99
Azure Data Scientist Associate Certification Guide
$54.99
Automated Machine Learning with Microsoft Azure
$48.99
Total $ 152.97 Stars icon
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Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
(18 Ratings)
5 star 94.4%
4 star 5.6%
3 star 0%
2 star 0%
1 star 0%
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suvam patel Apr 30, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Easy to understand book. The author has defined the book clearly for beginners and is very easy to follow along. I do recommend this book for anyone trying to get started with Automated ML.
Amazon Verified review Amazon
Sam Jun 16, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The way Dennis takes the audience through this book is very organized and easily digestible. I highly recommend this book for anyone looking to learn Automated Machine Learning on Microsoft Azure.
Amazon Verified review Amazon
Laura M Senko Jul 20, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book does a nice job of introducing the reader to Automated ML without being repetitive. In the first chapter the author outlines the cases for a business use for automated ML projects, benefits and drawbacks, and how ROI can be maximized. Subsequent chapters provided step-by-step instructions for Microsoft Azure workspace setup and building ML models. I like the way the author breaks down high-level concepts into more detailed examples. Highly recommended for someone who is new to the material.
Amazon Verified review Amazon
MiracleFighter May 26, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a smooth read with thoughtful instructions on Azure Machine Learning Service (AMLS). The examples in this book are practical and well organized from chapter to chapter. It is a very friendly book for users who want to build a model using AMLS and apply the models to their own business. The detailed step-by-step instructions are amazing!
Amazon Verified review Amazon
Sina Apr 26, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
What I really liked about this book is the step by step approach to automated machine learning. Data scientists of any level can really benefit from this book. I highly recommend reading this book and working through the exercises. I especially found the section on many models useful which can be applied to many real world problems.
Amazon Verified review Amazon
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