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C1DATA--01 | AI for Economics and Finance

AI for Economics and Finance
60
English
TBA
The use of ML and AI in economics and finance is relatively new but it is fast-growing field (policy targeting, GDP growth prediction, fraud detection, algorithmic trading, etc.). The objective of the AI for Economics and Finance is to highlight the main challenges faced by Machine Learning when it comes to building models that use economic anf financial data. Previous editions covered topics such as portfolio replication, bankruptcy prediction, credit scoring, risk management, market sentiment analysis, modeling of economic cycles, ...
TBA

 
The evaluation is based on a quiz that covers the various topics addressed during the week.

 
Python, NumPy and pandas libraries, Scikit-learn, and potentially Keras/TensorFlow or PyTorch

 
RIVA Fabrice

 
Sylvain Benoît and Fabrice Riva + TBA other instructors