Causal Models in Practice at Lyft with Sean Taylor - #486

Causal Models in Practice at Lyft with Sean Taylor - #486

Today we’re joined by Sean Taylor, Staff Data Scientist at Lyft Rideshare Labs. We cover a lot of ground with Sean, starting with his recent decision to step away from his previous role as the lab director to take a more hands-on role, and what inspired that change. We also discuss his research at Rideshare Labs, where they take a more “moonshot” approach to solving the typical problems like forecasting and planning, marketplace experimentation, and decision making, and how his statistical approach manifests itself in his work. Finally, we spend quite a bit of time exploring the role of causality in the work at rideshare labs, including how systems like the aforementioned forecasting system are designed around causal models, if driving model development is more effective using business metrics, challenges associated with hierarchical modeling, and much much more. The complete show notes for this episode can be found at twimlai.com/go/486.

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Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609

Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609

Today we continue our NeurIPS 2022 series joined by Tony Jebara, VP of engineering and head of machine learning at Spotify. In our conversation with Tony, we discuss his role at Spotify and how the co...

29 Dec 202241min

Will ChatGPT take my job? - #608

Will ChatGPT take my job? - #608

More than any system before it, ChatGPT has tapped into our enduring fascination with artificial intelligence, raising in a more concrete and present way important questions and fears about what AI is...

26 Dec 202237min

Geospatial Machine Learning at AWS with Kumar Chellapilla - #607

Geospatial Machine Learning at AWS with Kumar Chellapilla - #607

Today we continue our re:Invent 2022 series joined by Kumar Chellapilla, a general manager of ML and AI Services at AWS. We had the opportunity to speak with Kumar after announcing their recent additi...

22 Dec 202236min

Real-Time ML Workflows at Capital One with Disha Singla - #606

Real-Time ML Workflows at Capital One with Disha Singla - #606

Today we’re joined by Disha Singla, a senior director of machine learning engineering at Capital One. In our conversation with Disha, we explore her role as the leader of the Data Insights team at Cap...

19 Dec 202243min

Weakly Supervised Causal Representation Learning with Johann Brehmer - #605

Weakly Supervised Causal Representation Learning with Johann Brehmer - #605

Today we’re excited to kick off our coverage of the 2022 NeurIPS conference with Johann Brehmer, a research scientist at Qualcomm AI Research in Amsterdam. We begin our conversation discussing some of...

15 Dec 202246min

Stable Diffusion & Generative AI with Emad Mostaque - #604

Stable Diffusion & Generative AI with Emad Mostaque - #604

Today we’re excited to kick off our 2022 AWS re:Invent series with a conversation with Emad Mostaque, Founder and CEO of Stability.ai. Stability.ai is a very popular name in the generative AI space at...

12 Dec 202242min

Exploring Large Language Models with ChatGPT - #603

Exploring Large Language Models with ChatGPT - #603

Today we're joined by ChatGPT, the latest and coolest large language model developed by OpenAl. In our conversation with ChatGPT, we discuss the background and capabilities of large language models, t...

8 Dec 202236min

Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602

Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602

Are AI-generating algorithms the path to artificial general intelligence(AGI)?  Today we’re joined by Jeff Clune, an associate professor of computer science at the University of British Columbia, and...

5 Dec 202256min

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