617: Causal Modeling and Sequence Data
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Delving into Causality and Marketplace Efficiency at Lyft
The chapter explores the importance of understanding causality in sequence data analysis and the shift in focus from solving company-specific problems to building tools for users at Motif Analytics. It highlights the speaker's experience in using simulation and reinforcement learning to tackle marketplace issues at Lyft, such as pricing and dispatch optimization, emphasizing the continual need for technological advancements. The discussion also covers Lyft's experiment with pricing options for priority service and the challenges of making the marketplace efficient through algorithmic solutions and long-term investments.
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