Introduction to Estimation and Machine Learning

Fall Semester 2022

Prof. Hans-Andrea Loeliger

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

Lecture Notes, Problems, and Solutions (login)


  • probability and estimation
  • Hilbert spaces and linear learning
  • learning nonlinear functions
  • neural networks
  • kernel methods


Standard first courses in linear algebra and probability theory.

Lecture Notes

Complete lecture notes (in English) will be handed out as the course progresses.


Written (in English).


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