Opportunities at the Intersection of Financial Policy and Machine Learning
Toronto Machine Learning Series (TMLS) via YouTube
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Explore the intersection of financial policy and machine learning in this 41-minute talk by Ayeh Bandeh-Ahmadi, an advisor and former U.S. Treasury economist. Gain insights into the current applications of machine learning in finance and financial markets, including its role in the aftermath of COVID-19 and lending applications. Discover how policymakers and practitioners can leverage machine learning to enhance financial stability and develop sustainable business models. Learn about the evolving landscape where technology meets economic policy, and understand the potential impact on the future of finance.
Syllabus
A Former Government Economist Discusses Opportunities at the Intersection of Financial policy & ML
Taught by
Toronto Machine Learning Series (TMLS)