CausalML Weekly

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Ratings

N/A

Episodes

Latest episode

1 year ago

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👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split

Male 72% Female 28%

Age · peak 18-24

13-1711%

18-2433%

25-3432%

35-4416%

45+8%

Top geographies

United States34%
India11%
United Kingdom8%
Brazil6%
Indonesia5%

Likely interests

TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

Brands CausalML Weekly's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps

Genshin Impact

Shopify

Dbrand

Surfshark

Audible

Incogni

NordVPN

Saily

AG1

About

Welcome to CausalML Weekly, the podcast where data meets decision-making. Join us as we explore the intersection of causal inference, machine learning, and real-world applications. This show will break down cutting-edge methods, foundational theory, and practical deployment of causal models. In each episode, we distill insights from influential literature, summarize complex topics with clarity, and sometimes bring on experts to discuss how causal inference is transforming industries—from uplift modeling and A/B testing to policy evaluation and personalized treatment strategies.