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Virtual

QuantUniversity Machine Learning School 2022

causaLens’ own Ben Steiner delivers keynote lecture at QuantUniversity’s Machine Learning School. causaLens are featured alongside 10 guest lectures from industry experts on various topics in fairness, bias, AI assurance, Causality, Model Risk Management, MLOps!

Join causaLens’ Ben Steiner for his lecture on “Causality and Machine Learning”

Agenda:

Lecture 1: Feb 1, 2022 Python and Data Science in AI Risk Management by Sri Krishnamurthy ,CFA

Lecture 2: Feb 15, 2022 Metaflow and ML Pipelines by Jacopo Tagliabue, Coveo & Savin Goyal, Outerbounds

Lecture 3: Feb 25, 2022 High Stakes Design: Assurance, Auditing & the User Experience of AI by Andrea Brennen, In-Q-TEL

Lecture 4: Mar 1, 2022 Data Science in the highly regulated financial services industry by Jacob Kosoff, Regions Bank

Lecture 5, Mar 8, 2022 Machine Learning in Finance by Sri Krishnamurthy, QuantUniversity

Lecture 6, Mar 15, 2022 Fairness in Machine Learning by Nick Schmidt, Solas.ai

Lecture 7, Mar 22, 2022 Causality and Machine Learning by Ben Steiner, causaLens

Lecture 8, Mar 29, 2022 TBD

Lecture 9, Apr 5, 2022 Model Risk Management for AI/ML Models by Sri Krishnamurthy, QuantUniversity

Lecture 10, Apr 12, 2022 Bias in AI by Reva Schwartz, NIST


QuantUniversity is a quantitative analytics and machine learning advisory based in Boston, Massachusetts. QuantUniversity runs various data science and machine learning workshops in Boston, New York, Chicago, San Francisco and online through www.qu.academy. The company offers an Analytics Certificate Program and the Fintech Certificate program along with multiple workshops in its Explore-Experience-Excel series.