CDS: Machine Learning (NWI-NM048D)

• Master course at Radboud University - 3 EC
• Teaching Assistants: Eduardo Dominguez, Mauricio Diaz-Ortiz

This course is intended for Master's students in physics and mathematics as well as master's students in artificial intelligence/computer science with sufficient mathematical background.

Main topics

• Probabilistic approach to machine learning (Bayesian inference, evidence framework for model comparison)
• Learning and generalization in classification problems (perceptrons)
• Gradient descent methods in machine learning and neural networks
• Deep neural networks
• Inference and learning in graphical models

Course Material

Each lecture comes with an interactive jupyter notebook. Clone the repository to use the notebooks.