Put AI to Work
April 15-18, 2019
New York, NY
New York, NY
Danielle Dean
Technical Director, Machine Learning, 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.
Sessions
9:25am–9:35am Wednesday, April 17, 2019
Location: Grand Ballroom West
Danielle Dean (iRobot)
Average rating:
(4.17, 6 ratings)
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. 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.
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