Choosing the right algorithm for the right task

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€575,00 p.p.

The Sirris Data and AI Competence Lab (EluciDATA Lab) 'Data Innovation beyond the Hype' mastercourse provides pragmatic and industry-oriented training modules that address the need for companies to innovate their products, services or technology based on the use of data. It will become possible for these companies, for example to acquire new insights from experimental data, to profile products and customers, optimise production processes, predict machine failure and set up data-oriented start-ups.

The mastercourse cycle explains the various facets of data innovation in a number of modules: it covers the data-science workflow in general, as well as specific topics with a focus on industrial applications of data science and artificial intelligence.

Choosing the right algorithm for the right task - 25 and 28 January 2022, 9:30 - 12:00 (online) 

This module aims to introduce participants to the most important data science tasks (classification, clustering, regression, etc.) and provide an overview of the most commonly used algorithms and techniques to solve each of these tasks.

Register here

The working language for each module is English.

Cost per module: EUR 575

Thanks to the support of VLAIO (Industriepartnerschap), companies located in Flanders pay only 575 euro for 2 modules, if they actually book and follow at least 2 modules. This cannot be cumulated with the KMO-portefeuille

If you are a Flemish SME you can also make use of the KMO-portefeuille (the KMO-portefeuille should be requested at latest 14 days after the seminar has taken place - if not, your application will be refused).  (Sirris accreditation no: DV.O105154). 

For more information, please visit or contact us ( 

General terms

  • Invoices will be sent after the event. You can consult our general conditions on our website.
  • If you are unable to attend, you can be replaced by a colleague. Please notify us by email to of the name of your colleague.
  • Cancellations must be made by email to You can cancel your participation free of charge up to 3 working days before the event. In case of cancellation after this date or non-participance without cancellation, you will be invoiced for the full participation fee.