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Server 2012, or Windows Server 2012 R2Computer that has a 1.6GHz or faster processor (2GHz recommended)1 GB (32 Bit) or 2 GB (64 Bit) RAM (Add 512 MB if running in a virtual machine)20 GB of available hard disk space5400 RPM hard disk driveDirectX 9 capable video card running at 1024 x 768 or higher-resolution displayDVD-ROM drive (if installing Visual Studio from DVD)Internet connectionDepending on your Windows configuration, you might require Local Administrator rights to installor configure Visual Studio 2013.AcknowledgmentsThis book is dedicated to my father who passed away during the time this book was being written, yetwisely predicted that computers would be a big deal one day and that I should start to “ride the wave”of this exciting new field. It has truly been quite a ride so far.This book is the culmination of many long, sacrificed nights and weekends. I’d also like to thank mywife Susan, who can somehow always predict my next move long before I make it. And to my children,Ryan, Brooke, and Nicholas, for their constant support and encouragement.Special thanks to the entire team at Microsoft Press for their awesome support and guidance on thisjourney. Most of all, it was a supreme pleasure to work with my editor, Devon Musgrave, who providedconstant advice, guidance, and wisdom from the early days when this book was just an idea, all the waythrough to the final copy. Brian Blanchard was also critical to the success of this book as his keen editingand linguistic magic helped shape many sections of this book.Errata, updates, & supportWe’ve made every effort to ensure the accuracy of this book. You can access updates to this book—inthe form of a list of submitted errata and their related corrections—at:http://aka.ms/AzureML/errataIf you discover an error that is not already listed, please submit it to us at the same page.10
If you need additional support, email Microsoft Press Book Support at mspinput@microsoft.com.Please note that product support for Microsoft software and hardware is not offered through theprevious addresses. For help with Microsoft software or hardware, go to http://support.microsoft.com.Free ebooks from Microsoft PressFrom technical overviews to in-depth information on special topics, the free ebooks from MicrosoftPress cover a wide range of topics. These ebooks are available in PDF, EPUB, and Mobi for Kindleformats, ready for you to download at:http://aka.ms/mspressfreeCheck back often to see what is new!Free training from Microsoft Virtual AcademyThe Microsoft Azure training courses from Microsoft Virtual Academy cover key technical topics to helpdevelopers gain the knowledge they need to be a success. Learn Microsoft Azure from the true experts.Microsoft Azure training includes courses focused on learning Azure Virtual Machines and virtualnetworks. In addition, gain insight into platform as a service (PaaS) implementation for IT Pros,including using PowerShell for automation and management, using Active Directory, migrating fromon-premises to cloud infrastructure, and important licensing information.http://www.microsoftvirtualacademy.com/product-training/microsoft-azureWe want to hear from youAt Microsoft Press, your satisfaction is our top priority, and your feedback our most valuable asset.Please tell us what you think of this book at:http://aka.ms/tellpressWe know you’re busy, so we’ve kept it short with just a few questions. Your answers go directly tothe editors at Microsoft Press. (No personal information will be requested.) Thanks in advance for yourinput!11
Page 1 and 2: Azure MachineLearningMicrosoft Azur
Page 3 and 4: Hear aboutit first.Get the latest n
Page 5 and 6: PUBLISHED BYMicrosoft PressA divisi
Page 7 and 8: Supervised learning ...............
Page 9 and 10: KNN: K nearest neighbor algorithm .
Page 11 and 12: IntroductionMicrosoft Azure Machine
Page 13: Chapter 5, “Regression analytics,
Page 17 and 18: Chapter 1Introduction to the scienc
Page 19 and 20: pack. By combining these deep psych
Page 21 and 22: Predictive analyticsPredictive anal
Page 23 and 24: Everyday examples of predictive ana
Page 25 and 26: 22 million: Average number of mail
Page 27 and 28: it began to learn at an exponential
Page 29 and 30: Chapter 2Getting started with Azure
Page 31 and 32: Data It’s all about the data. Her
Page 33 and 34: The concept of supervised learning
Page 35 and 36: to determine the model’s accuracy
Page 37 and 38: FIGURE 2-6 Testing the new predicti
Page 39 and 40: The web service then passes the inc
Page 41 and 42: Creating new prediction models usin
Page 43 and 44: Data center location Defines the ph
Page 45 and 46: This is a free Azure offer that is
Page 47 and 48: In terms of where you can host an A
Page 49 and 50: An Azure Machine Learning workspace
Page 51 and 52: Machine Learning Workspace features
Page 53 and 54: Machine Learning Studio and then pu
Page 55 and 56: Number of instances in the dataset
Page 57 and 58: Create a new Azure Machine Learning
Page 59 and 60: experiment. Figure 3-13 shows the A
Page 61 and 62: FIGURE 3-16 Visualization of the Ad
Page 63 and 64: The workclass field is designated a
Page 65 and 66:
Figure 3-20 displays a screenshot o
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FIGURE 3-22 Opening the column sele
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FIGURE 3-24 Training our new Azure
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FIGURE 3-26 Visualizing the results
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Evaluate the modelOne of the most c
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Receiver Operator Characteristic (R
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FIGURE 3-31 After the Prepare Web S
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If we click the toggle button again
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FIGURE 3-37 The Azure Machine Learn
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provide access to data over the Web
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Note that the sample Request Body d
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FIGURE 3-47 A sample Response Body
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Sample Code Here’s the best part:
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Testing the Azure Machine Learning
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FIGURE 3-53 Processing the Azure Ma
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ce-to-azure-marketplace/http://data
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The following is a listing of the a
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FIGURE 4-2 Select the specific impl
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FIGURE 4-5 Sample code for invoking
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FIGURE 4-7 Invoking the NuGet Packa
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FIGURE 4-9 Sample C# code to invoke
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Now watch what happens if we replac
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To do this, simply click the menu o
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FIGURE 4-16 Invoking the Azure Mach
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They fall short, however, in terms
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FIGURE 4-19 Selecting an Empty ASP.
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FIGURE 4-21 Selecting a Web Form it
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Validating the user inputTo further
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FIGURE 4-26 Invoking the Azure Mach
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Create a web service using ASP.NET
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FIGURE 4-29 Selecting the Visual St
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FIGURE 4-31 Adding a new item to th
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FIGURE 4-33 C# class data structure
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FIGURE 4-35 Adding the empty scaffo
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FIGURE 4-38 Installing the NuGet pa
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FIGURE 4-41 The IncomePredictionCon
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{Inputs = new Dictionary<string, St
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}incomePredResult.Sex = mlResultsAr
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FIGURE 4-44 A jQuery Mobile web app
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var iSex = document.getElementById(
Page 147 and 148:
Chapter 5Regression analyticsIn the
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claims. It is easily seen how these
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Note that in this case, the Azure M
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FIGURE 5-4 The Upload A New Dataset
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FIGURE 5-7 Azure ML Studio: Selecti
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FIGURE 5-9 Selecting the option to
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FIGURE 5-12 The Clean Missing Data
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to .80. In this context, .80 means
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FIGURE 5-16 The automobile price pr
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FIGURE 5-18 The option to Visualize
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After clicking Publish Web Service
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FIGURE 5-23 The Azure ML Studio Reg
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SummaryIn this chapter, we took a d
Page 173 and 174:
unsupervised machine learning, the
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Cluster analysis is not necessarily
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Milk Annual spending on milk produc
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Now that we have the Reader module
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After placing the Train Clustering
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he Metric parameter offers two opti
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the results of our K-means clusteri
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Train Clustering Model module remai
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Removes the Train Clustering Model,
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FIGURE 6-24 The wholesale customers
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FIGURE 6-26 The API help sample cod
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FIGURE 6-28 The CSV output file ope
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Chapter 7The Azure ML Matchboxrecom
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Back in the good old days of video
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webpages, recipes, or even other pe
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FIGURE 7-1 The restaurant ratings s
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FIGURE 7-2 Populating the three res
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Now it’s time to add the Train Ma
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Armed with this knowledge, let’s
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The last module to add to our Match
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prediction model will return a set
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FIGURE 7-17 The completed experimen
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Page 219 and 220:
Chapter 8Retraining Azure ML models
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Figure 8-2 illustrates the two appr
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Once you have re-created or located
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as a web service. After processing,
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After adding the three additional W
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FIGURE 8-9 Azure Machine Learning W
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FIGURE 8-11 A sample Azure Machine
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FIGURE 8-13 The two endpoints for t
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Page 237 and 238:
ResourcesFor more information about
Page 239 and 240:
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