Machine Learning for Finance (Paris)

This course will teach you the fundamentals of machine learning: principles and practice, using the programming language Python. It will cover Learning theory (statistical ground for learning from data), the main classes of learning algorithms (supervised, unsupervised), the Bias-variance trade-off and overfitting, model training, testing, and validation, and provide an introduction to network analysis, and neural networks (deep learning for image recognition).

Course: MS in Quantitative Finance

INSTRUCTOR: Jean SAVINIEN

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