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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AI for High-Stakes Decision Making with Hima Lakkaraju - #387

AI for High-Stakes Decision Making with Hima Lakkaraju - #387

Today we’re joined by Hima Lakkaraju, an Assistant Professor at Harvard University. At CVPR, Hima was a keynote speaker at the Fair, Data-Efficient and Trusted Computer Vision Workshop, where she spok...

29 Juni 202045min

Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386

Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386

We continue our CVPR coverage with today’s guest, Pavan Turaga, Associate Professor at Arizona State University. Pavan gave a keynote presentation at the Differential Geometry in CV and ML Workshop, s...

25 Juni 202046min

Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385

Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385

Today we’re joined by Babak Ehteshami Bejnordi, a Research Scientist at Qualcomm. Babak is currently focused on conditional computation, which is the main driver for today’s conversation. We dig into...

22 Juni 202055min

Machine Learning Commerce at Square with Marsal Gavalda - #384

Machine Learning Commerce at Square with Marsal Gavalda - #384

Today we’re joined by Marsal Gavalda, head of machine learning for the Commerce platform at Square, where he manages the development of machine learning for various tools and platforms, including mark...

18 Juni 202051min

Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383

Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383

Today we’re joined by Jianxu Chen, a scientist at the Allen Institute for Cell Science. At the latest GTC conference, Jianxu presented his work on the Allen Cell Explorer Toolkit, an open-source pro...

15 Juni 202044min

Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

Today we’re joined by Andreas Madsen, an independent researcher based in Denmark. While we caught up with Andreas to discuss his ICLR spotlight paper, “Neural Arithmetic Units,” we also spend time exp...

11 Juni 202031min

2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381

2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381

Today we’re joined by Rumman Chowdhury, Managing Director and Global Lead of Responsible AI at Accenture. In our conversation with Rumman, we explored questions like:  • Why is now such a critical in...

8 Juni 20201h 1min

Panel: Advancing Your Data Science Career During the Pandemic - #380

Panel: Advancing Your Data Science Career During the Pandemic - #380

Today we’re joined by Ana Maria Echeverri, Caroline Chavier, Hilary Mason, and Jacqueline Nolis, our guests for the recent Advancing Your Data Science Career During the Pandemic panel. In this conver...

4 Juni 20201h 7min

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