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Abstract
This course provides you with real-world case studies and projects in finance and insurance where machine learning methods have been successfully applied.
Objective
Get exposure to real-world case studies and projects in finance and insurance where ML methods have been successfully applied. Gain insights and understanding of the overall system landscape & architecture in which your machine learning model is embedded. Choose and deep dive into cases and applications guided by ETH faculty and professionals from finance, banking and insurance
Content
Structured as an interactive workshop. Students select 3 out of 4 workshops offered between June, July and September. Workshops take place at ETH or at corporate facilities.