Machine Learning is a subfield of computer science concerned with systems that learn from data.
In this 2 part session, you will learn how a Microsoft 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 session has been specifically designed to describe machine learning fundamentals, and to help enable and inspire existing 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.
Part 1 (above) focuses on what machine learning is followed by an introduction to Azure Machine Learning.
Part 2 – Continuation of Azure Machine Learning followed by a look at the various business scenarios that machine learning is useful for.
About the speakers
Peter Myers has been working with Microsoft database and development products since 1997. Today he specializes in Microsoft Business Intelligence (BI) and provides mentoring, technical training and course content authoring for Microsoft SQL Server and Microsoft Office. Specifically, he works with SQL Server BI and Office BI, and also Power BI.
He has a broad business background supported by a Bachelor’s degree in applied economics, and he extends this with current MCSE and MCT certifications. He has been awarded SQL Server Microsoft Most Valuable Professional (MVP) since 2007. Peter is an established presenter and enjoys sharing his experience and enthusiasm for Microsoft products by presenting in classrooms and at user group meetings, technical events and major conferences worldwide.
Check out his LinkedIn to learn more about Peter.
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