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Azure Machine Learning: From Design to Integration - Peter Myers
Author: Darren Gosbell Date Posted: 12/09/2016 10:50:36 AM
Machine Learning is a subfield of computer science concerned with systems that learn from data. So this isn’t a presentation about systems that follow explicitly programmed instructions, but rather one about systems that find patterns and trends within datasets, and use them to deliver insight and predictions.

In this presentation 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 into applications.

This presentation has been specifically designed to describe Machine Learning fundamentals, and to help enable and inspire existing data professionals 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 by which it can be accomplished.

About the Presenter
============
Peter Myers has worked with Microsoft database and development products since 1997. He specializes in the Microsoft data platform and provides consulting, mentoring, technical training, and technical content authoring for SQL Server, Office, SharePoint, Azure and Power BI. He 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 certifications. He has been a Data Platform MVP since 2007.

Venue: Microsoft Melbourne Office (Level 5, Building 4, Freshwater Place, Southbank, Melbourne) | Duration 5:30PM pizzas & drinks and sharing ideas 6:00PM start 7:30PM finish (ish!) | On: Tuesday, 20 September 2016