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Practical information

Next course: 16-20 October 2017 (17th edition)

Previous course: 26-30 June 2017, Delft, The Netherlands

Location

PR Sys Design office , Molengraaffsingel 12, 2629JD, Delft, The Netherlands.

Course setup

  • The course is structured in a set of short lectures followed by intensive practical exercises with Matlab and perClass.
  • Emphasis is put on the "how-to-do-it" approach, going beyond an inventory of methods.
  • Practice on real-world industrial examples (hyperspectral object sorting, tissue characterization, face recognition).
  • We encourage participants to bring their own data.
  • Interaction in a small group of participants (max 10 people).
  • Useful recipes and practical tips and tricks are shared from our experience as consultants.

Is this the course for me?

The perClass course is designed for specialists that use pattern recognition as a tool. Basic knowledge of statistical concepts and Matlab scripting is useful. On the other hand, in every course, we have also welcomed participants having expert skills and often holding a PhD in machine learning or a similar field. As you can read on the testimonial page, this unique mix of diverse expertise among participants adds to the creative atmosphere that supports sharing and learning.

Is this the course only explaining how to use perClass software?

No. The course is designed as general. We only use Matlab/perClass for exercises to demonstrate the concepts. Some of the companies, repeatedly send us R&D specialists for the training yet do not purchase perClass software (see the testimonials)

Teachers

The teaching staff, Dr. Pavel Paclik and Dr. Carmen Lai, have extensive experience with design of industrial classifiers in different application areas, and rich academic and teaching background at Delft Technical University.

Pricing


The course fee includes:
  • perClass Pro license for the duration of the course.
  • Course material.
  • Lunches.

30% discount is applicable for course participants purchasing perClass Toolbox within one month after the course.


Further question? Please contact us for details!