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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Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411

Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411

Today we’re joined by Artur Yakimovich, Co-Founder at Artificial Intelligence for Life Sciences and a visiting scientist in the Lab for Molecular Cell Biology at University College London. In our conv...

21 Syys 202040min

Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410

Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410

Today we’re joined by Kavita Bala, the Dean of Computing and Information Science at Cornell University.  Kavita, whose research explores the overlap of computer vision and computer graphics, joined u...

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That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409

That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409

Today we’re joined by Nikos Athanasiou, Muhammed Kocabas, Ph.D. students, and Michael Black, Director of the Max Planck Institute for Intelligent Systems.  We caught up with the group to explore thei...

14 Syys 202043min

3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408

3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408

Today we’re joined by Georgia Gkioxari, a research scientist at Facebook AI Research.  Georgia was hand-picked by the TWIML community to discuss her work on the recently released open-source library ...

10 Syys 202035min

What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407

What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407

Today we’re joined by the legendary Michael I. Jordan, Distinguished Professor in the Departments of EECS and Statistics at UC Berkeley.  Michael was gracious enough to connect us all the way from It...

7 Syys 202056min

Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406

Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406

Today we’re joined by Sameer Singh, an assistant professor in the department of computer science at UC Irvine.  Sameer’s work centers on large-scale and interpretable machine learning applied to info...

3 Syys 202041min

How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405

How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405

Today we’re joined by Gary Ren, a machine learning engineer for the logistics team at DoorDash.  In our conversation, we explore how machine learning powers the entire logistics ecosystem. We discuss...

31 Elo 202043min

Machine Learning as a Software Engineering Discipline with Dillon Erb - #404

Machine Learning as a Software Engineering Discipline with Dillon Erb - #404

Today we’re joined by Dillon Erb, Co-founder & CEO of Paperspace. We’ve followed Paperspace since their origins offering GPU-enabled compute resources to data scientists and machine learning develope...

27 Elo 202044min

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