9/03/2015 1:47:32 PM
Machine Learning is a subfield of computer science concerned with systems that learn from data. In this session you will learn how an Azure Machine Learning solution comes to life: From the creation of a workspace, to the preparation of data, to experimentation with machine learning algorithms, and then finally to the integration and embedding of predictive insights.
This presentation has been specifically designed to describe machine learning fundamentals, and to help enable and inspire existing BI developers taking their first steps to leverage cloud-based predictive models delivered with Azure Machine Learning. It is guaranteed to thrill you with potential, and excite you with the relative ease in which it can be accomplished.
Peter Myers has worked with Microsoft database and development products since 1997. Today, he specializes in all Microsoft BI products and provides mentoring, technical training, and training course content authoring for SQL Server, Office, and SharePoint. Peter has a broad business background supported by a bachelor’s degree in applied economics and accounting, and he extends this with solid experience backed by current MCSE and MCT certifications. He lives in Melbourne, Australia and has been a SQL Server MVP since 2007.
Venue: Mechanics School of Arts, Level 1, 280 Pitt St, Sydney |
Duration 5:30 pm Pizza and drinks | 6 pm - 8pm Session |
On: Tuesday, 14 April 2015