Part I: Introducing Data Science and Microsoft Azure Machine Learning
by Wee Hyong Tok, Valentine Fontama, Roger Barga
Predictive Analytics with Microsoft Azure Machine Learning, Second Edition
- Cover
- Title
- Copyright
- Contents at a Glance
- Contents
- About the Authors
- About the Techincal reviewers
- Foreword
- Acknowledgments
- Introduction
- Part I: Introducing Data Science and Microsoft Azure Machine Learning
- Chapter 1: Introduction to Data Science
- Chapter 2: Introducing Microsoft Azure Machine Learning
- Chapter 3: Data Preparation
- Chapter 4: Integration with R
- Chapter 5: Integration with Python
- Part II: Statistical and Machine Learning Algorithms
- Part III: Practical Applications
- Chapter 7: Building Customer Propensity Models
- Chapter 8: Visualizing Your Models with Power BI
- Chapter 9: Building Churn Models
- Chapter 10: Customer Segmentation Models
- Chapter 11: Building Predictive Maintenance Models
- Chapter 12: Recommendation Systems
- Chapter 13: Consuming and Publishing Models on Azure Marketplace
- What Are Machine Learning APIs?
- How to Use an API from Azure Marketplace
- Publishing Your Own Models in Azure Marketplace
- Creating and Publishing a Web Service for Your Machine Learning Model
- Obtaining the API Key and the Details of the OData Endpoint
- Publishing Your Model as an API in Azure Marketplace
- Summary
- Chapter 14: Cortana Analytics
- Index
-
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