Abstract: Business analysts and data scientists alike spend as much as 80 percent of their time finding, cleaning, and reorganizing data. In this session, we will lead you through a tested workflow on how to prepare data for machine learning. You will leave with a handy practitioner’s guide that outlines a repeatable process to help you going forward. Then, using DataRobot Paxata, the industry leading data preparation tool, we will demonstrate point-and-click ML-assisted data prepping functionality that can help you significantly reduce the amount of time you spend getting your data ready for models.
Bio: Sean Smith is a Director of Success at DataRobot where he supports customers development of actionable intelligence with automated machine learning. Sean has held multiple positions in advanced analytics & machine learning with some of today’s largest technology companies and is a contributing author to Towards AI, one of the top to artificial intelligence publications on Medium.
