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
Conferences
Free Learning
Arrow right icon
Hands-On Machine Learning with Azure
Hands-On Machine Learning with Azure

Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence

Arrow left icon
Profile Icon Parashar Shah Profile Icon Abraham Profile Icon Murphy Profile Icon Lauri Lehman Profile Icon Jen Stirrup Profile Icon Anindita Basak +2 more Show less
Arrow right icon
€18.99 per month
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.7 (3 Ratings)
Paperback Oct 2018 340 pages 1st Edition
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Parashar Shah Profile Icon Abraham Profile Icon Murphy Profile Icon Lauri Lehman Profile Icon Jen Stirrup Profile Icon Anindita Basak +2 more Show less
Arrow right icon
€18.99 per month
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.7 (3 Ratings)
Paperback Oct 2018 340 pages 1st Edition
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
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.
Subscribe now
View plans & pricing
Table of content icon View table of contents Preview book icon Preview Book

Hands-On Machine Learning with Azure

Data Science Process

Over the past decade, organizations have seen a rapid growth in data. Harnessing insight from that data is crucial to the growth and sustenance of these organizations. Yet, groups chartered with extracting value from data fail for various reasons. In this chapter, we will cover how organizations can avoid the potential pitfalls of data science.

There is a larger discussion about the quality and governance of data, which we will not be covering here. Experienced data scientists recognize the challenges with data and account for them in their processes. In general, some of these challenges include the following:

  • Poor data quality and consistency
  • Silos of data driven by individual business teams
  • Technologies that are hard to integrate with other data sources
  • The inability to deal with the Vs of big data: volume, velocity, variety, and veracity

In some cases...

TDSP stages

The Team Data Science Process (TDSP) is a methodology created by Microsoft to guide the full life cycle of data science projects in organizations. It is not meant to be a complete solution, but simply a framework by which teams can add structure to their processes and achieve the full business value of their analytics.

Besides TDSP, the other prevalent methodology that organizations have been adopting is called CRISP-DM (short for Cross-Industry Standard Process for Data Mining). This methodology has been around since the mid-1990s. There were several attempts to update it in the 2000s, but they were abandoned. The primary focus of CRISP-DM was data mining, but its principles can be extended to data science as well. The major steps listed in CRISP-DM are as follows: business understanding, data understanding, data preparation, modeling, evaluation, and deployment....

Tools for TDSP

Microsoft has released a set of tools that make it easier for organizations to follow the TDSP process. One of those tools is the IDEAR utility released for CRAN-R, Microsoft R, and Python. Another tool is the Automated Modeling and Reporting (AMAR) utility. In this section, we will look into how we can leverage these tools in the TDSP process.

IDEAR tool for R

Summary

In conclusion, we have introduced you to the TDSP in this chapter and covered each of the different steps that are involved in detail. This process is meant to augment other existing processes rather than replace them. We also looked at various TDSP utilities that Microsoft has provided that make it easier to build some structure into the data science life cycle. In the next few chapters, we will look at each of the options available within Azure to build AI solutions for your business needs.

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Learn advanced concepts in Azure ML and the Cortana Intelligence Suite architecture
  • Explore ML Server using SQL Server and HDInsight capabilities
  • Implement various tools in Azure to build and deploy machine learning models

Description

Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way. The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll integrate patterns with other non-AI services in Azure. By the end of this book, you will be fully equipped to implement smart cognitive actions in your models.

Who is this book for?

If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. You’ll also find this book useful if you want to bring powerful machine learning services into your cloud applications. Some experience with data manipulation and processing, using languages like SQL, Python, and R, will aid in understanding the concepts covered in this book

What you will learn

  • Discover the benefits of leveraging the cloud for ML and AI
  • Use Cognitive Services APIs to build intelligent bots
  • Build a model using canned algorithms from Microsoft and deploy it as a web service
  • Deploy virtual machines in AI development scenarios
  • Apply R, Python, SQL Server, and Spark in Azure
  • Build and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlow
  • Implement model retraining in IoT, Streaming, and Blockchain solutions
  • Explore best practices for integrating ML and AI functions with ADLA and logic apps

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 31, 2018
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781789131956
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
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.
Subscribe now
View plans & pricing

Product Details

Publication date : Oct 31, 2018
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781789131956
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 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
€189.99 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
€264.99 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 98.97
Hands-On Machine Learning with Azure
€36.99
Hands-On Cloud Solutions with Azure
€24.99
Hands-On Cloud Administration in Azure
€36.99
Total 98.97 Stars icon
Banner background image

Table of Contents

13 Chapters
AI Cloud Foundations Chevron down icon Chevron up icon
Data Science Process Chevron down icon Chevron up icon
Cognitive Services Chevron down icon Chevron up icon
Bot Framework Chevron down icon Chevron up icon
Azure Machine Learning Studio Chevron down icon Chevron up icon
Scalable Computing for Data Science Chevron down icon Chevron up icon
Machine Learning Server Chevron down icon Chevron up icon
HDInsight Chevron down icon Chevron up icon
Machine Learning with Spark Chevron down icon Chevron up icon
Building Deep Learning Solutions Chevron down icon Chevron up icon
Integration with Other Azure Services Chevron down icon Chevron up icon
End-to-End Machine Learning Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.7
(3 Ratings)
5 star 33.3%
4 star 0%
3 star 0%
2 star 33.3%
1 star 33.3%
Michael L. Friscia May 25, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I attended Live AI in Orlando in December 2018, shortly after this book came out, and the book was a great refresher on doing many things I had forgotten how to do. The only trouble is that Azure has changed their interface a little and added many new features. So some of the screen shots in this book are outdated but the information is accurate. They also make references to tutorials, they still exist in the Azure GitHub but not in the same way in Azure portal as the book references.The problem with Machine Learning is that there are too many different aspects to cover. I think this book does a great job at touching on most of them. But for me, I wanted something to help navigate the Azure tools to give me a kick in the right direction. I know Python, I've worked with R and I've done a handful of tensorflow stuff on Linux docker images. But my work is entirely in Azure.If you are new to Azure and Machine Learning, I think this book is good. It summarizes a lot of what you can find in the Microsoft tutorials online for getting started with Azure ML studio and puts it into easy to follow steps. But be forewarned that Azure changes often, the concepts in this book remain solid but in another year, most of the steps will likely be much different. The change between December and now is pretty big in that Azure has added numerous new features to their AI/ML offerings. Having worked in Azure for a couple of years, I know in 6 months it will be even more different which will probably make this book obsolete by the summer of 2020 except for advanced Azure users that can translate this book to the newer Azure interface.I do recommend this book but keep i mind, it is exactly what the title says it is. It is not a book to teach how to do machine learning, it is a hands on book using microsoft experiments published in GitHub for use on the Azure platform that will help you understand how to use Azure tools for machine learning.
Amazon Verified review Amazon
Colin Dec 12, 2018
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
For the price I was expecting something far more in-depth. It's a big book but most of it is just screenshots, and much of the rest is just blurb/ML hype. Terminology isn't explained and the authors skim over most detail - eg we are informed that R code can be embedded into ML studio to enable you to create bespoke ML algorithms, but there is no detail on how to actually go about doing this. Similarly there is a lack of detail on the other available functions in ML studio. Also, whilst there is a whole chapter on the data science lifecycle process, there is little detail on the application of this - ie what I, as a data scientist who is new to Azure, need to do to get from raw data in a lake to a fully deployed embedded ML solution.
Amazon Verified review Amazon
Md Abu S. Chowdhury Apr 26, 2019
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
Very poor Graphics Contents.. Unable to read many image contents
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.