Introduction to Estimation and Machine Learning
Fall Semester 2023
Location: ETF C1
Lectures: Fridays, 14:15 – 16:00
Tutorial Sessions: Fridays, 16:15 – 18:00
Assistants: Tianyang Wang and Yunpeng Li
Lecture Notes, Problems, and Solutions (login)
Description
- probability and estimation
- Hilbert spaces and linear learning
- learning nonlinear functions
- neural networks
- kernel methods
Prerequisites
Standard first courses in linear algebra and probability theory.
Lecture Notes
Complete lecture notes (in English) will be handed out as the course progresses.
Examination
Written (in English).