Automated ML: A journey from CRISPR.ML to Azure ML (sponsored by Microsoft Azure)
Automated ML is at the forefront of Microsofts 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 scientists dilemma, a researchers ingenuity, and how cloud, data, and AI came together to help build automated ML.
| Talk Title | Automated ML: A journey from CRISPR.ML to Azure ML (sponsored by Microsoft Azure) |
| Speakers | Danielle Dean (iRobot) |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | New York, New York |
| Date | April 16-18, 2019 |
| URL | Talk Page |
| Slides | |
| Video | Talk Video |
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.
