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Predictive Analytics with Microsoft Azure Machine Learning

✍ Scribed by Roger Barga, Valentine Fontama, Wee Hyong Tok (auth.)

Publisher
Apress
Year
2015
Tongue
English
Leaves
303
Category
Library
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No coin nor oath required. For personal study only.

✦ Table of Contents

Front Matter....Pages i-xxiii
Front Matter....Pages 1-1
Introduction to Data Science....Pages 3-20
Introducing Microsoft Azure Machine Learning....Pages 21-43
Data Preparation....Pages 45-79
Integration with R....Pages 81-101
Integration with Python....Pages 103-130
Front Matter....Pages 131-131
Introduction to Statistical and Machine Learning Algorithms....Pages 133-148
Front Matter....Pages 149-149
Building Customer Propensity Models....Pages 151-171
Visualizing Your Models with Power BI....Pages 173-188
Building Churn Models....Pages 189-206
Customer Segmentation Models....Pages 207-220
Building Predictive Maintenance Models....Pages 221-241
Recommendation Systems....Pages 243-262
Consuming and Publishing Models on Azure Marketplace....Pages 263-277
Cortana Analytics....Pages 279-283
Back Matter....Pages 285-291

✦ Subjects

Computer Science, general; Data Mining and Knowledge Discovery

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