munichpavel/risk-ai-workshop
Lecture material and sample code for the workshop "Risk, Artificial Intelligence and Discrete Geometry" at the University of Ljubljana
This workshop material helps financial professionals and risk managers understand and apply advanced analytical techniques to risk assessment. It provides practical exercises and examples using artificial intelligence, discrete geometry, and causal inference to analyze risk data. The content is designed for individuals, such as Masters in Mathematical Finance students, who need to evaluate and manage financial risks more effectively.
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Use this if you are a student or practitioner in mathematical finance or risk management looking to deepen your understanding of AI and discrete geometry applications for risk analysis.
Not ideal if you are looking for a plug-and-play software solution rather than educational material with code examples and theoretical explanations.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
May 24, 2024
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