Put AI to Work
April 15-18, 2019
New York, NY

Automated ML: A journey from CRISPR.ML to Azure ML (sponsored by Microsoft Azure)

Danielle Dean (iRobot)
9:25am9:35am Wednesday, April 17, 2019
Location: Grand Ballroom West
Average rating: ****.
(4.17, 6 ratings)

The tedious but necessary process of selecting, testing, and tweaking machine learning models that power many of today’s AI systems is too time-consuming. Automated ML is at the forefront of Microsoft’s push to make Azure ML an end-to-end solution for anyone who wants to build and train models that make predictions from data and then deploy them anywhere—in the cloud, on-premises, or at the edge.

Join Danielle Dean for a surprising conversation about a data scientist’s dilemma, a researcher’s ingenuity, and how cloud, data, and AI came together to help build automated ML.

Photo of Danielle Dean

Danielle Dean

iRobot

Danielle Dean is the technical director of machine learning at iRobot. Previously, she was a principal data science lead at Microsoft. She holds a PhD in quantitative psychology from the University of North Carolina at Chapel Hill.