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Jakob Zeitler On Causal AI's Role in Optimal Experiments Ep 7 | CausalBanditsPodcast.com
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Tune in for an insightful discussion on the practical challenges and opportunities in applying causal inference to real-world problems. Subscribe for more expert talks on the latest in causal AI and machine learning.
✅ About The Guest
Jakob Zeitler is a researcher at the Centre for Artificial Intelligence at University College London (UCL) and a Head of R&D at Matterhorn Studio. His research focuses on partial identification, sensitivity analysis, and optimal experimentation. He works on solutions for automated material design.
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✅ About The Host
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur, and best-selling author in causality.
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Video and Audio Editing: Navneet Sharma, Aleksander Molak
This video is about Jakob Zeitler On Causal AI's Role In Optimal Experiments Ep 7. But It also covers the following topics:
Jakob Zeitler Research
AI For Experiment Design
Causal AI Applications
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