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.

Avsnitt(779)

Scaling Video AI at RTL with Daan Odijk - #435

Scaling Video AI at RTL with Daan Odijk - #435

Today we’re joined by Daan Odijk, Data Science Manager at RTL. In our conversation with Daan, we explore the RTL MLOps journey, and their need to put platform infrastructure in place for ad optimizat...

9 Dec 202040min

Benchmarking ML with MLCommons w/ Peter Mattson - #434

Benchmarking ML with MLCommons w/ Peter Mattson - #434

Today we’re joined by Peter Mattson, General Chair at MLPerf, a Staff Engineer at Google, and President of MLCommons.  In our conversation with Peter, we discuss MLCommons and MLPerf, the former an o...

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Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

Today we’re joined by Charlene Chambliss, Machine Learning Engineer at Primer AI.  Charlene, who we also had the pleasure of hosting at NLP Office Hours during TWIMLfest, is back to share some of the...

3 Dec 202045min

Feature Stores for Accelerating AI Development - #432

Feature Stores for Accelerating AI Development - #432

In this special episode of the podcast, we're joined by Kevin Stumpf, Co-Founder and CTO of Tecton, Willem Pienaar, an engineering lead at Gojek and founder of the Feast Project, and Maxime Beauchemin...

30 Nov 202056min

An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431

An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431

In this special edition of the podcast, we're joined by Shalini Kantayya, the director of Coded Bias, and Deb Raji and Meredith Broussard, who both contributed to the film. In this panel discussion, ...

27 Nov 20201h 24min

Common Sense as an Algorithmic Framework with Dileep George - #430

Common Sense as an Algorithmic Framework with Dileep George - #430

Today we’re joined by Dileep George, Founder and the CTO of Vicarious. Dileep, who was also a co-founder of Numenta, works at the intersection of AI research and neuroscience, and famously pioneered ...

23 Nov 202047min

Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429

Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429

Today we’re joined by Sushil Thomas, VP of Engineering for Machine Learning at Cloudera. Over the summer, I had the pleasure of hosting Sushil and a handful of business leaders across industries at t...

19 Nov 202046min

Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428

Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428

Today we’re joined by Devin Singh, a Physician Lead for Clinical Artificial Intelligence & Machine Learning in Pediatric Emergency Medicine at the Hospital for Sick Children (SickKids) in Toronto, and...

16 Nov 202043min

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