I’m currently taking this undergraduate Machine Learning course (Fall 2025), which strengthens my understanding of core statistical and symbolic learning algorithms. The course explores applications in data mining, pattern recognition, nonlinear regression, and temporal data, and builds on prior knowledge in numerical analysis, such as that covered in IFT2425.

Taught by Prof. Ioannis Mitliagkas, Canada CIFAR AI Chair and Research Scientist at Google DeepMind.