Shopping cart
Your cart empty!
Terms of use dolor sit amet consectetur, adipisicing elit. Recusandae provident ullam aperiam quo ad non corrupti sit vel quam repellat ipsa quod sed, repellendus adipisci, ducimus ea modi odio assumenda.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Dolor sit amet consectetur adipisicing elit. Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Sit amet consectetur adipisicing elit. Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Do you agree to our terms? Sign up
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 2015Data preparation and feature selection Data visualization with Power BIRecommendation enginesSelling your models on Azure Marketplace
Comments