This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services.
This open book is licensed under a Open Publication License (OPL). You can download Azure Machine Learning ebook for free in PDF format (8.0 MB).
Table of Contents
Introduction to the science of data
Getting started with Azure Machine Learning
Using Azure ML Studio
Creating Azure Machine Learning client and server applications
The Azure ML Matchbox recommender
Retraining Azure ML models
Azure Machine Learning
Open Publication License
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