Teaching

All courses are hosted on the internal Moodle platform at EURECOM. Video lectures are also available to EURECOM students, using the internal video server at EURECOM.

Deep Learning

[Spring Semester] Theory and practice of Deep Learning.

• Neural Networks Basics
• Stochastic optimization and loss landscapes
• CNNs, with a gist of Computer Vision
• Sequence Modeling (from RNNs to Transformers), with a gist of Language Models
• Energy Based Models
• Deep Generative Models

Algorithmic Machine Learning

[Spring Semester] Practical, end-to-end aspects of Machine Learning, organized a-la Kaggle: challenges on a variety of application domains.

• Data Preparation
• Modeling
• Validation

Previous courses

• Distributed Systems and Cloud Computing [2011-2019]
• Applied Game Theory [2009-2012]
• Algorithm Design [2009-2014]
• Web Technologies [2005-2011]