While Machine Learning is not new, it has never been easy to implement. Azure Machine Learning (AML) aims to provide a set of tools that are easier to use and once a model is created easier to consume by client applications. At the core of AML is ML Studio. ML Studio provides an easy to use graphical tool that allows you to control the process from pre-processing the data, to applying learning algorithms, testing the model, and finally deploying the model for use by client applications. This session guides you through the process of creating and deploying a ML model. In addition it will demonstrate how client applications can easily use the model once it is deployed.
Dan Clark is a senior IT consultant specializing in .NET and SQL Server technology. For over a decade, he has been developing applications and training others to develop applications using Microsoft technologies. Dan has published several books and numerous articles on .NET programming. He is a regular speaker at various developer conferences and user group meetings, and he conducts workshops in object-oriented programming and database development.