SDS 617: Causal Modeling and Sequence Data - with Sean Taylor

#CausalModeling #SequenceAnalytics #CausalExperimentation
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.
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In this episode you will learn:
• Sean on his new venture, Motif Analytics [2:44]
• The relationship between causality and sequence analytics [13:37]
• Sean's data science work at Lyft [20:40]
• The key investments for large-scale causal experimentation [25:44]
• Why and when is causal modeling helpful [30:51]
• Causal modeling tools and recommendations [35:11]
• Facebook's Prophet automation tool for forecasting [38:20]
• What Sean looks for in data science hires [49:12]
• Sean on his PhD in Information Systems [51:53]
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