Welcome to “Introduction to recursive machine learning algorithms”
Duration: ~ 16 h
When: 07-08.09.2026: 8.30-12.00, (09,11).09.2026: 12.30-16.00
Where: Online, link will be provided
Language: English
min. Participants: 6
Fee: 300 CHF
Topics: Machine learning, online algorithms, Kalman filters
Requirements: English, linear algebra (basic), probability theory (basic), programming experience (beginner), Calculus (integrals and derivatives, basic)

Registration

Please fill this form to register for the workshop. The registration fee is of 300 CHF. An invoice will be issued when the workshop starts.

If you complete the workshop you will receive a certificate stating your participation and the details of the workshop.

The links on the top right will take you to different pages with detailed information about the workshop including the planned timeline, an overview of the contents, and some references that will be useful during the workshop. When they are ready, the link Lectures will link to notes and materials for each lecture or session.

Lectures from previous instances of the workshop are found here.

The pages updated most recently are shown below.

Session 3. Applications

 Posted on January 26, 2023  |  1 min  |  46 words

The session covered several example applications of the Kalman filter and parameter estimation via maximum likelihood. Participants presented their own problems and ideas. This was the final session of the workshop.

[Read More]

Session 3. Applications

 Posted on October 15, 2021  |  2 min  |  232 words

The session covered several example applications of the Kalman filter and parameter estimation via maximum likelihood. Participants presented their own problems and ideas. This was the final session of the workshop.

[Read More]