In this session we will take a magical tour through a Machine Learning OSS framework in .NET. We'll discuss both supervised and unsupervised learning problems through practical code examples in order to equip you with the tools you will need to get started with machine learning in your own projects. We will also discuss ways to extend the framework in order to include the various machine learning algorithms of your own design.
Data visualizations are intended for summarizing complex information into visually digestible bites in an aesthetically pleasing way; getting them right is difficult work. This session will introduce developers to certain important principles that govern great data visualizations through an example-based collaborative discussion. The focus of this session will primarily be on dashboards: how to think about them, what visualizations to use, and how to effectively manage information in a concise way.
