December 5-7, 2016
Vancouver, Canada

Preparing 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

Amazon

Susan Ibach (aka @HockeyGeekGirl) leads the Amazon Future Engineer program in Canada a program to provide equitable access to computer science education to youth from underserved and underrepresented communities. She has 20+ years of experience coding and helping people of all ages from around the world discover the power of coding, and takes pride in delivering engaging and thoughtful presentations.

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