Machine Learning can often be a daunting subject to tackle much less utilize in a meaningful manner. In this session, attendees will learn how to take their existing data, shape it, and create models that automatically can make principled business decisions directly in their applications. The discussion will include explanations of the data acquisition and shaping process. Additionally, attendees will learn the basics of machine learning - primarily the supervised learning problem.
Move beyond the conceptual overview of external data and business connectivity services with a practical implementation. See an external data source configured from scratch and examples of practical uses of the information within SharePoint, including external lists, external data columns, and search. Learn how a source database with millions of rows of data can be added to SharePoint and used easily. This session provides more than a basic overview, with high enough level to cover multiple scenarios of general use.