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In this session, we will discuss what Machine Learning is and examine how to apply basic ML principles to an Azure ML experiment. Through live demos we will identify the main components of an experiment within Azure ML Studio, and learn why experiments are structured differently to support varying predictive scenarios. This session will provide a deeper understanding of supervised versus unsupervised learning, the structure of experiments within these learning types, and how the predictive models produced can be of value to your customers. Register to attend this complimentary webinar.
Tue, 22 Nov 2016 09:30:00 GMT (UTC)