March 8-10, 2017
Montreal, Canada

Preparing your data for Machine Learning

Machine learning is amazing, but to get accurate predictions you will need to spend time working with your data to get the best possible outputs. Like the old adage says: garbage in garbage out! So if you are trying to learn more about machine learning, stop by and learn the basics of preparing your data for machine learning. We will start with a real world dataset and transform it to get more accurate predictions from our training model.

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Susan Ibach

Microsoft

Susan Ibach (aka @HockeyGeekGirl) is a technical evangelist at Microsoft, so she loves to talk about the latest developer technologies such as the cloud, machine learning, cognitive services, and more! She has worked as a consultant doing programming, testing, data conversions, roll-outs and also as a trainer teaching programming, databases, and business intelligence. Susan is a high energy presenter and takes pride in delivering engaging presentations.

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