Replicability in AI, P-Hacking and implications in Quant. Finance - Prof. Lopez De Prado & Dr. Simon
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Replicability in AI, P-Hacking and implications in Quant. Finance - Prof. Lopez De Prado & Dr. Simon
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About this listen
During the Awards Ceremony of the ADIA Lab Market Prediction Competition, we discuss Replicability in AI, P-Hacking and implications in Quantitative Finance.
Panel:
- Prof. Marcos Lopez de Prado, Global Head - Quantitative R&D at ADIA
- Dr. Horst Simon - Director at ADIA Lab
- Matteo Manzi, Cofounder & Lead Quant Researcher at CrunchDAO
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Crunchdao serves as a secure intermediary, enabling data scientists to keep control of their models while powering financial institutions.
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