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.

Jaksot(779)

Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

Today we’re joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. In our conversation, discuss the current landscape of pharmaceutical drugs and drug discov...

26 Joulu 201943min

Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331

Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331

Today we continue our 2019 NeurIPS coverage, this time around joined by Blake Richards, Assistant Professor at McGill University and a Core Faculty Member at Mila. Blake was an invited speaker at the ...

24 Joulu 201940min

How to Know with Celeste Kidd - #330

How to Know with Celeste Kidd - #330

Today we’re joined by Celeste Kidd, Assistant Professor at UC Berkeley, to discuss her invited talk “How to Know” which details her lab’s research about the core cognitive systems people use to guide ...

23 Joulu 201953min

Using Deep Learning to Predict Wildfires with Feng Yan - #329

Using Deep Learning to Predict Wildfires with Feng Yan - #329

Today we’re joined by Feng Yan, Assistant Professor at the University of Nevada, Reno to discuss ALERTWildfire, a camera-based network infrastructure that captures satellite imagery of wildfires. In o...

20 Joulu 201951min

Advancing Machine Learning at Capital One with Dave Castillo - #328

Advancing Machine Learning at Capital One with Dave Castillo - #328

Today we’re joined by Dave Castillo, Managing VP for ML at Capital One and head of their Center for Machine Learning. In our conversation, we explore Capital One’s transition from “lab-based” ML to en...

19 Joulu 201947min

Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327

Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327

Today we’re joined by Bryton Shang, Founder & CEO at Aquabyte, a company focused on the application of computer vision to various fish farming use cases. In our conversation, we discuss how Bryton ide...

17 Joulu 201937min

Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326

Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326

Today we kick off our re:Invent 2019 series with Ville Tuulos, Machine Learning Infrastructure Manager at Netflix. At re:Invent, Netflix announced the open-sourcing of Metaflow, their “human-centric f...

13 Joulu 201956min

Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325

Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325

Today we’re joined by Stephen Merity, an independent researcher focused on NLP and Deep Learning. In our conversation, we discuss Stephens latest paper, Single Headed Attention RNN: Stop Thinking With...

12 Joulu 201959min

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