Machine learning can help examine large amounts of data to discern patterns. This lets you construct models to recognize those patterns. You can use these models to make predictions such as determining the price of a house or what a visitor to your website will click on next. This beginner-level session, aimed at the non-data scientist, will teach you to create predictive models using the Azure Machine Learning Studio, deploy the models using web services, and consume the results in your custom applications.

You will learn:

• How to prepare data and create predictive experiments
• How to use R scripts to transform data for your experiments
• How to deploy and consume a predictive model using web services