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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Probabilistic Numeric CNNs with Roberto Bondesan - #482

Probabilistic Numeric CNNs with Roberto Bondesan - #482

Today we kick off our ICLR 2021 coverage joined by Roberto Bondesan, an AI Researcher at Qualcomm.  In our conversation with Roberto, we explore his paper Probabilistic Numeric Convolutional Neural Ne...

10 Touko 202141min

Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481

Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481

Today we’re joined by Huiji Gao, a Senior Engineering Manager of Machine Learning and AI at LinkedIn.  In our conversation with Huiji, we dig into his interest in building NLP tools and systems, inclu...

6 Touko 202134min

Dask + Data Science Careers with Jacqueline Nolis - #480

Dask + Data Science Careers with Jacqueline Nolis - #480

Today we’re joined by Jacqueline Nolis, Head of Data Science at Saturn Cloud, and co-host of the Build a Career in Data Science Podcast.  You might remember Jacqueline from our Advancing Your Data Sc...

3 Touko 202134min

Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Today we’re joined by Irene Chen, a Ph.D. student at MIT.  Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity ...

29 Huhti 202136min

AI Storytelling Systems with Mark Riedl - #478

AI Storytelling Systems with Mark Riedl - #478

Today we’re joined by Mark Riedl, a Professor in the School of Interactive Computing at Georgia Tech. In our conversation with Mark, we explore his work building AI storytelling systems, mainly those ...

26 Huhti 202141min

Creating Robust Language Representations with Jamie Macbeth - #477

Creating Robust Language Representations with Jamie Macbeth - #477

Today we’re joined by Jamie Macbeth, an assistant professor in the department of computer science at Smith College.  In our conversation with Jamie, we explore his work at the intersection of cogniti...

21 Huhti 202140min

Reinforcement Learning for Industrial AI with Pieter Abbeel - #476

Reinforcement Learning for Industrial AI with Pieter Abbeel - #476

Today we’re joined by Pieter Abbeel, a Professor at UC Berkeley, co-Director of the Berkeley AI Research Lab (BAIR), as well as Co-founder and Chief Scientist at Covariant. In our conversation with P...

19 Huhti 202158min

AutoML for Natural Language Processing with Abhishek Thakur - #475

AutoML for Natural Language Processing with Abhishek Thakur - #475

Today we’re joined by Abhishek Thakur, a machine learning engineer at Hugging Face, and the world’s first Quadruple Kaggle Grandmaster! In our conversation with Abhishek, we explore his Kaggle journe...

15 Huhti 202136min

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