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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: 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
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