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Building Fast and Reliable Machine Learning Systems with Yian Ma

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Content provided by UCTV. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UCTV or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Yian Ma, an assistant professor in the Halıcıoğlu Data Science Institute at UC San Diego talks about his research using scalable inference methods for credible machine learning. This involves designing Bayesian inference methods to quantify uncertainty in the predictions of complex models; understanding computational and statistical guarantees of inference algorithms; and leveraging these scalable algorithms to learn from time series data and perform sequential decision making tasks. Series: "Science Like Me" [Science] [Show ID: 39710]
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200 episodes

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on August 22, 2024 17:06 (11d ago)

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Manage episode 427375879 series 3387999
Content provided by UCTV. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UCTV or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Yian Ma, an assistant professor in the Halıcıoğlu Data Science Institute at UC San Diego talks about his research using scalable inference methods for credible machine learning. This involves designing Bayesian inference methods to quantify uncertainty in the predictions of complex models; understanding computational and statistical guarantees of inference algorithms; and leveraging these scalable algorithms to learn from time series data and perform sequential decision making tasks. Series: "Science Like Me" [Science] [Show ID: 39710]
  continue reading

200 episodes

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