Introduction to Estimation and Machine Learning
Fall Semester 2022
Location: ETF C1, Zoom (meeting ID will be sent to the registered participants)
Lectures: Friday, 14:15-16:00
Tutorial sessions: ETF C1, Zoom (time slots & meeting IDs will be announced to the registered participants)
Assistants: Elizabeth Ren
- probability and estimation
- Hilbert spaces and linear learning
- learning nonlinear functions
- neural networks
- kernel methods
Standard first courses in linear algebra and probability theory.
Complete lecture notes (in English) will be handed out as the course progresses.
Written (in English).