Predicting Responsibly: Claudia Perlich On AI, Bias, And The Art Of Data Science Women In Data Science Worldwide podcast

A tartalmat a Women in Data Science Worldwide (WiDS), Professor Margot Gerritsen, and Chisoo Lyons biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Women in Data Science Worldwide (WiDS), Professor Margot Gerritsen, and Chisoo Lyons vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

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Predicting Responsibly: Claudia Perlich on AI, Bias, and the Art of Data Science

23d ago 46:02

Megosztás

MP3•Epizód kép

Predictive Modeling (4:15)
Human judgement and processes (14:06)
Imperfection in models (21:40)

Bio

Claudia Perlich is Managing Director and Head of Strategic Data Science for Investment Management at Two Sigma, where she has worked for seven years. In this role, Claudia is responsible for developing innovative alpha strategies at the intersection of alternative data, thematic hypotheses and machine learning in public markets. Claudia joined Two Sigma from Dstillery, an AI ad targeting company, where she worked as Chief Scientist. Claudia began her career in data science at the IBM Watson Research Center, concentrating on research in data analytics and machine learning for complex real-world domains and applications.

Since 2011, Claudia has served as an adjunct professor teaching Data Mining in the M.B.A. program at New York University’s Stern School of Business. Claudia received a Ph.D. in Information Systems from Stern School of Business, New York University, holds an M.S. of Computer Science from Colorado University and a B.S. in Computer Science from Technical University Darmstadt, Germany.

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Claudia Perlich on Linkedin

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57 epizódok

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