Frederik Wenkel

Frederik Wenkel is a Ph.D candidate in Applied Mathematics at Université de Montréal and Mila (Quebec AI Institute) working on geometric deep learning. In particular, he is interested in graph neural networks and their applications in domains such as social networks, biochemistry and finance. He holds a bachelor’s and master’s degree in mathematics at Technical University of Munich.

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Machine Learning Use Cases in Finance (edX) EdX
Université de Montréal,UMontrealX

Machine Learning Use Cases in Finance (edX)

Economics & Finance Data Science

Explore the transformative power of Machine Learning in the world of finance with this exclusive edX course. Designed for data scientists, analysts, and professionals in banking and insurance, this course delves into real-world use cases where machine learning has made a significant impact. From risk assessment to personalized financial advice, understand how ML is reshaping the financial landscape.

Self Paced
Self-Paced
Finance Machine Learning Neural Networks
Details
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