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.
In this session, we will talk about the common usage patterns, issues and challenges that an extension author faces. We will then present foundational concepts, tools, tips and tricks that will help you be productive and successful as an extension author. Speaker: Hemchander Sannidhanam.