Book description
Azure ML, Microsoft’s Azure Machine Learning cloud platform, provides an easy-to-use and powerful set of cloud-based data transformation and machine-learning tools. With this O’Reilly report, you’ll learn the basics of manipulating data and constructing and evaluating models in Azure ML, illustrated by a complete data science example.
Author Stephen Elston from Quantia Analytics performs the required data manipulation throughout the report, and then constructs and evaluates a regression model for a bicycle-sharing-demand dataset. You can follow along by downloading the code and data provided. You’ll then learn how to publish your trained models as web services in the Azure cloud.
This report will show you how:
- Azure ML provides a powerful environment for the creation and cloud deployment of predictive analytic solutions
- R code is readily integrated into the Azure ML workflow
- Careful development, selection, and filtering of features is the key to most data science problems
- Recognizing business goals and requirements is essential to creating a successful data science solution
- A complete understanding of residuals is essential to the evaluation of predictive model performance
Publisher resources
Table of contents
- 1. Data Science in the Cloud with Microsoft Azure Machine Learning and Python
Product information
- Title: Data Science in the Cloud with Microsoft Azure Machine Learning and R
- Author(s):
- Release date: February 2015
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491917138
You might also like
book
Software Engineering at Google
Today, software engineers need to know not only how to program effectively but also how to …
book
Head First Design Patterns, 2nd Edition
You know you don’t want to reinvent the wheel, so you look to design patterns—the lessons …
book
Analytical Skills for AI and Data Science
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, …
book
40 Algorithms Every Programmer Should Know
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental …