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Tools for building robust, state-of-the-art machine learning models
In this episode of the Data Exchange I speak with Michael Mahoney, a researcher at UC Berkeley’s RISELab, ICSI, and Department of Statistics. Mike and his collaborators were recently awarded one of the best papers awards at NeurIPS 2020, one of leading research conferences in machine learning.
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Download the 2021 Trends Report: Data, Machine Learning, AI and learn emerging technologies for data management, data engineering, machine learning, and AI.
Detailed show notes can be found on The Data Exchange web site.
Subscribe to The Gradient Flow Newsletter.
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By Ben Lorica
4.7
3737 ratings
In this episode of the Data Exchange I speak with Michael Mahoney, a researcher at UC Berkeley’s RISELab, ICSI, and Department of Statistics. Mike and his collaborators were recently awarded one of the best papers awards at NeurIPS 2020, one of leading research conferences in machine learning.
Subscribe: Apple, Android, Spotify, Stitcher, Google, and RSS.
Download the 2021 Trends Report: Data, Machine Learning, AI and learn emerging technologies for data management, data engineering, machine learning, and AI.
Detailed show notes can be found on The Data Exchange web site.
Subscribe to The Gradient Flow Newsletter.
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