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PRODID:-//pretalx//cfp.pydata.org//pydataglobal2025//talk//ESFUQB
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UID:pretalx-pydataglobal2025-ESFUQB@cfp.pydata.org
DTSTART:20251211T173000Z
DTEND:20251211T180000Z
DESCRIPTION:This session shows how Bayesian statistical modeling helps dete
 rmine when you have collected enough data about new products\, so that the
 y are ready for competition. We'll explore: \nhow this approach enables ef
 ficient decision-making with minimal data\nwhy we chose Bayesian over mach
 ine learning models\nhow we covered for the required assumptions \nhow thi
 s enables a risk-management approach while providing interpretable results
  that business stakeholders can understand and trust \n\n\nYou will learn 
 how to identify a Bayesian problem at your company and how to navigate the
  modelling with real-world data!
DTSTAMP:20260417T062744Z
LOCATION:Analytics\, Visualization & Decision Science
SUMMARY:Enhancing Marketplace Competitiveness: A Bayesian Approach to model
 ling the cold start problem - Agustin Figueroa Nazar
URL:https://cfp.pydata.org/pydataglobal2025/talk/ESFUQB/
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