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)

House Hunters: Machine Learning at Redfin with Akshat Kaul - #530

House Hunters: Machine Learning at Redfin with Akshat Kaul - #530

Today we’re joined by Akshat Kaul, the head of data science and machine learning at Redfin. We’re all familiar with Redfin, but did you know that redfin.com is the largest real estate brokerage site i...

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Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529

Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529

Today we’re joined by Edward Raff, chief scientist and head of the machine learning research group at Booz Allen Hamilton. Edward’s work sits at the intersection of machine learning and cybersecurity,...

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Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528

Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528

Today we’re joined by Andrea Banino, a research scientist at DeepMind. In our conversation with Andrea, we explore his interest in artificial general intelligence by way of episodic memory, the relati...

18 Okt 202137min

Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527

Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527

Take our survey at twimlai.com/survey21! Today we’re joined by Tim Rocktäschel, a research scientist at Facebook AI Research and an associate professor at University College London (UCL).  Tim’s wor...

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Building Technical Communities at Stack Overflow with Prashanth Chandrasekar - #526

Building Technical Communities at Stack Overflow with Prashanth Chandrasekar - #526

In this special episode of the show, we’re excited to bring you our conversation with Prashanth Chandrasekar, CEO of Stack Overflow. This interview was recorded as a part of the annual Prosus AI Marke...

11 Okt 202140min

Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525

Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525

Today we’re joined by Joseph Soriaga, a senior director of technology at Qualcomm.  In our conversation with Joseph, we focus on a pair of papers that he and his team will be presenting at Globecom l...

7 Okt 202139min

Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524

Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524

Today we’re joined by Kanaka Rajan, an assistant professor at the Icahn School of Medicine at Mt Sinai. Kanaka, who is a recent recipient of the NSF Career Award, bridges the gap between the worlds of...

4 Okt 202147min

Do You Dare Run Your ML Experiments in Production? with Ville Tuulos - #523

Do You Dare Run Your ML Experiments in Production? with Ville Tuulos - #523

Today we’re joined by a friend of the show and return guest Ville Tuulos, CEO and co-founder of Outerbounds. In our previous conversations with Ville, we explored his experience building and deploying...

30 Sep 202140min

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