Session 6: Choosing the right algorithm for the right task
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Mastercourse ‘Data Innovation beyond the Hype’ - Session 6 Choosing the right algorithm for the right task
The‘Data Innovation beyond the Hype’ mastercourse given by the Data and AI Competence Lab of Sirris (EluciDATA Lab) consists of 6 sessions providing a pragmatic and industry-oriented approach to data-driven innovation. As of January 2019, we will start a new cycle.
The ‘Data Innovation beyond the Hype’ mastercourse provides pragmatic and industry-oriented sessions on data-driven innovation. Between January 2019 and June 2019, we will organise a new cycle, which you can follow in its entirety (by registering for all sessions - possible until 17/01/2019) or by independently following the session(s) you are interested in.
Session 6: Choosing the right algorithm for the right task
The goal of this session is to introduce the 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. For each of the methods, its characteristics, advantages and disadvantages will be explained in order to guide the participants in making a conscious choice in terms of the available data (dimensionality, attribute types, etc.) and the expected model requirements (interpretability, accuracy, scalability, etc.). Finally, the guiding principles to train and evaluate the resulting models, including an overview of common pitfalls and frequently-used evaluation measures, will be presented.
Target audience
This mastercourse session is open to any company that is interested in data innovation as an opportunity for its company and activities. For sessions 3 to 6, some basic analytic skills (e.g. high-level understanding of algebra and interpretation of statistical figures) is a prerequisite.
Practical information
Location Sirris, Technologiepark 935, Zone A2, 9052 Zwijnaarde
Price
Session number and title |
Normal price |
Early bird* and/or Sirris member** |
Session 1: The art of formulating a data science task |
625 EUR |
575 EUR |
Session 2: Bring your own data innovation challenge |
475 EUR |
425 EUR |
Session 3: The importance of data visualisation and hypothesis building |
525 EUR |
475 EUR |
Session 4: The power of data visualisation |
575 EUR |
525 EUR |
Session 5: The art of feature engineering |
625 EUR |
575 EUR |
Session 6: Choosing the right algorithm for the right task |
625 EUR |
575 EUR |
*The early bird price is only applicable if you choose to follow one session. Registration must be done at least more than 3 weeks in advance.
**This price is applicable for any Sirris member who subscribes at any time to one single session.
If you register for the whole cycle (possible until 17/01/2019) session 2: Bring your own data innovation challenge is for free. Total price is 2975 EUR instead of 3450 EUR.
If you register for any 3 sessions – the total price is 1575 EUR.
All prices are exclusive of VAT.
A hardcopy of the course notes is included in the registration price. All sessions are given in English.
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 course has taken place). (Erkenningsnr. Sirris: DV.O105154).Please note that if you do not apply in time your request will be declined.
For more information, please visit http://www.kmo-portefeuille.be/or contact us (caroline.mair@sirris.be).
Our general terms and conditions for the training
Any cancellation has to be made by e-mail (caroline.mair@sirris.be). Cancellations made before the 3 business days preceding a session are free of charge. After this deadline, 50% of the participation fee will be charged (incl. VAT). In case of cancellation the day itself, the full amount of the registration will be due. In case of "no-show" the full amount of the registration fee will be due too. Replacement by a colleague is always possible if notified in advance by e-mail to caroline.mair@sirris.be