Description
Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the sphere of data science and machine learning, with a focal point 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 make sure that the reader can in an instant begin the use of 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 internet services and products.
Learn how you’ll quickly build and deploy sophisticated predictive models with the brand new Azure Machine Learning from Microsoft.
What’s New within the Second Edition?
Five new chapters have been added with practical detailed coverage of:
- Python Integration – a new feature announced February 2015
- Data preparation and feature selection
- Data visualization with Power BI
- Recommendation engines
- Selling your models on Azure Marketplace