Azure Machine Learning
Microsoft Azure Essentials
| eBook | Free |
| Rating |   |
| Author | Jeff Barnes |
| Publisher | Microsoft Press |
| Published | 2015 |
| Pages | 240 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 0735698171 |
| ISBN-13 | 9780735698178 |
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.
- Jeff Barnes
4 5 68
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