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Danielle Dean

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Team Teardown: MLOps in the Cloud for IoTTWIMLcon: AI Platforms 20212021-01-19
Built a Kubeflow Pipelines stack on Kubernetes with on‑prem GPUs, VS Code devcontainers and AWS Batch for synthetic jobs, supporting image models, RL…
Talk on
Automated ML: A journey from CRISPR.ML to Azure MLO'Reilly Artificial Intelligence Conference 2019 - New York, New York2019-04-15
A meta‑learning system turns CRISPR.ML’s months of manual tuning into a recommender over a discrete space of preprocessing, model families and hyperparameters…
Talk on
Danielle Dean (Microsoft) interviewed at the O'Reilly Artificial Intelligence Conference NY 2019O'Reilly Artificial Intelligence Conference 2019 - New York, New York2019-04-15
Describes concrete barriers to production AI: difficulty to translate business problems into data science problems, need for end-to-end flows that capture…
Interview on
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