Michael Villamizar

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Données administratives

Enseignement & Phd

Cours

Machine Learning for Engineers

* Fundamentals 4h
- Notion of learning (classification vs. regression vs. density modeling vs. reinforcement learning)
- Probability theory (formalization, densities, density models)
- Standard statistical tools
- Cross validation and performance evaluation
- Signal processing (Fourier, edges, etc.)
- Optimization (gradient, newton, stochastic gra