Machine learning, which facilitates predictive analytics from large volumes of data by employing algorithms that iteratively learn from that data, is one of the fastest growing areas of computer science. Azure Machine Learning is a cloud-based predictive-analytics service that offers a streamlined experience for data scientists of all skill levels. In this session you will learn about machine learning and how Microsoft has implemented it using Azure Machine Learning. You will also learn how to train a model, apply and test learning algorithms, and deploy a model as a web service.

Session Objectives:

• Learn the basics of Azure Machine Learning

• Prepare data and use it to train a model

• Apply and test learning algorithms

• Deploy a model as a Web Service

Our speaker for tonight is Mickey Gousset. Mickey is a Principal Consultant/Team Lead for Infront Consulting Group, a consulting company focused on Microsoft System Center and Azure. He is a Microsoft Visual Studio and Development Technologies MVP, with a focus on Application Lifecycle Management. Mickey has been lead author of several books, including “Professional Application Lifecycle Management with Visual Studio 2013” from Wrox Publishing. He is very passionate about ALM and the cloud, and speaks on ALM and Cloud topics at various user groups, code camps, and conferences around the world.

Learn more about Mickey at http://mickeygousset.com (http://mickeygousset.com/)