54 min listen
617: Causal Modeling and Sequence Data
617: Causal Modeling and Sequence Data
ratings:
Length:
71 minutes
Released:
Oct 11, 2022
Format:
Podcast episode
Description
Dr. Sean Taylor, Co-Founder and Chief Scientist of Motif Analytics, joins Jon Krohn this week for yet another perspective on causal modeling. Tune in for a great conversation that covers large-scale causal experimentation, Information Systems, Bayesian parameter searches, and more.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Sean on his new venture, Motif Analytics [4:23]• The relationship between causality and sequence analytics [15:26]• Sean's data science work at Lyft [22:21]• The key investments for large-scale causal experimentation [27:25]• Why and when is causal modeling helpful [32:34]• Causal modeling tools and recommendations [36:52]• Facebook's Prophet automation tool for forecasting [40:02]• What Sean looks for in data science hires [50:57]• Sean on his PhD in Information Systems [53:34]
Additional materials: www.superdatascience.com/617
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Sean on his new venture, Motif Analytics [4:23]• The relationship between causality and sequence analytics [15:26]• Sean's data science work at Lyft [22:21]• The key investments for large-scale causal experimentation [27:25]• Why and when is causal modeling helpful [32:34]• Causal modeling tools and recommendations [36:52]• Facebook's Prophet automation tool for forecasting [40:02]• What Sean looks for in data science hires [50:57]• Sean on his PhD in Information Systems [53:34]
Additional materials: www.superdatascience.com/617
Released:
Oct 11, 2022
Format:
Podcast episode
Titles in the series (100)
003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok: Learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more. by Super Data Science: ML & AI Podcast with Jon Krohn