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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Graph Analytic Systems with Zachary Hanif - TWiML Talk #188

Graph Analytic Systems with Zachary Hanif - TWiML Talk #188

In this, the final episode of our Strata Data Conference series, we’re joined by Zachary Hanif, Director of Machine Learning at Capital One’s Center for Machine Learning. We start our discussion wit...

8 Loka 201854min

Diversification in Recommender Systems with Ahsan Ashraf - TWiML Talk #187

Diversification in Recommender Systems with Ahsan Ashraf - TWiML Talk #187

In this episode of our Strata Data conference series, we’re joined by Ahsan Ashraf, data scientist at Pinterest. We discuss his presentation, “Diversification in recommender systems: Using topical var...

4 Loka 201844min

The Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186

The Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186

In today's episode we're presenting a special conversation with Jeremy Howard, founder and researcher at Fast.ai. This episode is being released today in conjunction with the company’s announcement of...

2 Loka 20181h 11min

Federated ML for Edge Applications with Justin Norman - TWiML Talk #185

Federated ML for Edge Applications with Justin Norman - TWiML Talk #185

In this episode we’re joined by Justin Norman, Director of Research and Data Science Services at Cloudera Fast Forward Labs. In my chat with Justin we start with an update on the company before diving...

27 Syys 201847min

Exploring Dark Energy & Star Formation w/ ML with Viviana Acquaviva - TWiML Talk #184

Exploring Dark Energy & Star Formation w/ ML with Viviana Acquaviva - TWiML Talk #184

In today’s episode of our Strata Data series, we’re joined by Viviana Acquaviva, Associate Professor at City Tech, the New York City College of Technology. In our conversation, we discuss an ongoing p...

26 Syys 201840min

Document Vectors in the Wild with James Dreiss - TWiML Talk #183

Document Vectors in the Wild with James Dreiss - TWiML Talk #183

In this episode of our Strata Data series we’re joined by James Dreiss, Senior Data Scientist at international news syndicate Reuters. James and I sat down to discuss his talk from the conference “Doc...

24 Syys 201840min

Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182

Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182

In today’s episode we’re joined by Naveed Ahmad, Senior Director of data engineering and machine learning at Hearst Newspapers. In our conversation, we discuss into the role of ML at Hearst, including...

20 Syys 201839min

Anticipating Superintelligence with Nick Bostrom - TWiML Talk #181

Anticipating Superintelligence with Nick Bostrom - TWiML Talk #181

In this episode, we’re joined by Nick Bostrom, professor at the University of Oxford and head of the Future of Humanity Institute, a multidisciplinary institute focused on answering big-picture questi...

17 Syys 201844min

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