Peter Bailis, Stanford Professor and Sisu Data CEO discusses Usable Machine Learning – Lessons from Stanford and Beyond at the O'Reilly AI Conference in 2019. In his presentation, Peter draws on his research and startup experience to examine:

• Why deep networks aren’t a panacea for most organizations’ data
• How usability and speed are the best path to better models, and
• Why automating feature selection is more practical than AutoML