Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

Tom Viering

Tom Viering is an assistant professor with a focus on education in the Pattern Recognition and Bio-Informatics research group in the Faculty of Electrical Engineering, Mathematics & Computer Science at the TU Delft. He is one of the coordinators and teachers in TU Delft’s AI minor. In this program, engineers with various backgrounds learn the basics of AI and machine learning and apply the techniques in the field of their major. In his teaching he likes to employ interactive Python widgets to stimulate students’ understanding.

His research focuses on theoretical and empirical aspects of machine learning, for example on questions like how much data is necessary for learning.

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