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.
The art of feature engineering - 14 and 16 December 2021, 9:30 - 12:00 (online)
In order for intelligent algorithms to learn something from data, the data must be presented in the best possible way. The process of transforming data and preserving only the most relevant, distinctive features is called feature engineering. It is perhaps the most important step in the data science workflow. This module aims to provide an overview of the most commonly used methods, the most common pitfalls for different types of data (sensor data, location data...) and problem sets (prediction, profiling...).
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).
- 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 email@example.com of the name of your colleague.
- Cancellations must be made by email to firstname.lastname@example.org. 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.