Azure Machine Learning Studio for The Non-Data Scientist: Learn how to create experiments, operationalize them using Excel and Angular .Net Core applications, and create retraining programs
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Creating predictive models is no longer relegated to data scientists when you use tools such as the Microsoft Azure Machine Learning Studio.
Azure Machine Learning Studio is a web browser-based application that allows you to create and deploy predictive models as web services that can be consumed by custom applications and other tools such as Microsoft Excel.
However, the author is not a data scientist. Therefore, you do not need to be a data scientist to use this book. You do not even need to be a computer programmer; however, if you are, it will help you understand the chapters that cover how to operationalize the sample predictive model, by creating an Angular application, and to retrain that model using C# code.
Table of Contents
Chapter 1: The Author is Not a Data Scientist
* Why Do We Need Predictive Modeling?
* An Introduction to Get You Started
Chapter 2: An End-To-End Azure Machine Learning Studio Application
* Create an Azure Machine Learning Workspace
* Create An Experiment
* Select Columns
* Split Data
* Train The Model
* Score The Model
* Evaluate The Model
* Create A Predictive Web Service
* Consume The Model Using Excel
Chapter 3: An Angular 2 .Net Core Application Consuming an Azure Machine Learning Model
* The Application
* Creating The Application
* Create The .Net Core Application
* Add PrimeNG
* Add The Database
* Create Code To Call Azure Machine Learning Web Service
* Create The Angular Application
* Saving Data
* Viewing Data
Chapter 4: Retraining an Azure Machine Learning Application
* The Retraining Process
* Prepare The Training Data
* Set-up An Azure Storage Account
* Create The Batch Retraining Program
* Get Required Values
* Add A New Endpoint And Patch It
* Consume The New Endpoint
ASIN : B0742M7XM7
Publication date : July 18, 2017
Language : English
File size : 16956 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 160 pages
Page numbers source ISBN : 1548871125
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4 reviews for Azure Machine Learning Studio for The Non-Data Scientist: Learn how to create experiments, operationalize them using Excel and Angular .Net Core applications, and create retraining programs
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Tom C –
Iâm a total newbie…
… to machine learning and data science. I have played around with the Azure Machine Learning studio a little, but I needed a book that would get me started and not assume I was already a data scientist. This book does exactly that.The best thing about this book it is that it has screenshots for every step and even has the steps numbered. I found this book very easy to follow.
QFEguy –
Michael is the go-to guy for Azure Machine Learning and Angular
The author covers setting up a programmatic method to retrain your Azure Machine Learning models. I looked around the web and there are multiple methods, but they are confusing and many of them are outdated. This book details the exact process that is easy to follow. I also found the chapter on creating an Angular 2 application very valuable.
TechUser –
About 10 minutes worth of meaningful content…… (or $2/minute)
If you have VisualStudio and are interested in writing an Angular app then this might be of interest. If, however, you want to learn how to implement Machine Learning in Azure save your money. Less than a quarter of this 157 page book covers that topic. Even then, 60% of those pages are agonizing click-by-click screen shots. You are much better off simply reading the online documentation.From the title, I expected some down to earth discussion of the concepts of ML but I found zero content on ML itself.
5teenw –
This book is an excellent starter kit for using Azure Machine Learning – just enough to use it and as it honestly states not a description of the maths theory that underpins multiple linear regression and random forests.