Book description
Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommenders, propensity models, and churn and predictive maintenance models.
The authors use task oriented descriptions and concrete end-to-end examples to ensure that the reader can immediately begin using this new service. The book describes all aspects of the service from data ingress to applying machine learning, evaluating the models, and deploying them as web services.
Learn how you can quickly build and deploy sophisticated predictive models with the new Azure Machine Learning from Microsoft.
What’s New in the Second Edition?
Five new chapters have been added with practical detailed coverage of:
Table of contents
- 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
Product information
- Title: Predictive Analytics with Microsoft Azure Machine Learning, Second Edition
- Author(s):
- Release date: August 2015
- Publisher(s): Apress
- ISBN: 9781484212004
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