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.
Susan Ibach
SteamLabs
Susan Ibach (aka @HockeyGeekGirl) does business development and partner management for SteamLabs, a non-profit that develops STEM and STEAM education experiences, specializing in Artificial Intelligence. Susan is a self professed geek with over 20 years experience in industry in a wide variety of technologies and roles. She is known as an engaging speaker who strives to make sure her content is relevant to the audience.
Vancouver 2016 sponsored by
