A tour of machine learning: classification
General context
In the current age of data, advanced analysis offered by Machine Learning research is essential for transforming this data into new knowledge and useful tools. In this two-day workshop I explain the principles underlying Machine Learning and teach you how to build accurate prediction models from data through hands on exercises, with a focus on building classification models.
At the end of the workshop you will be able to compute and evaluate prediction models from your data using the Scikit-Learn Python library (meaning that knowledge of Python is mandatory). You will also be able to understand current advances in Machine Learning such as Deep Learning.
The workshop is written in the Python programming language. If you have no experience with Python, you should follow a Python introduction course first. No background in Machine Learning is assumed, just a keen interest.
Trainers
Sven Degroeve
Prof. Dr. Sven Degroeve is a staff-scientist at the VIB-UGent Center for Medical Biotechnology and teaches Machine Learning for biomedical data at UGent.
Practical info
14 November 2022 - 15 November 2022
Ghent - VIB/UGent FSVM II
Technologiepark 75
9052 Zwijnaarde
Belgium
14 November 2022 - 15 November 2022
Ghent - VIB/UGent FSVM II
From Ghent Sint-Pieters station, you can take a bus to Technologiepark. Please check Routeplanner De Lijn for schedules.
14 November 2022 - 15 November 2022
Ghent - VIB/UGent FSVM II
Looking for a custom cycling route? Try the online cycling route planner to easily and quickly identify the fastest, safest and/or most scenic route to any destination in Ghent.
Cycling route planner
Shared bicycles:
Several providers are active in the area.
Take a look at their platforms:
- Indigo Weel Pro app
- Bluebike
- DOTT
- BOLT eBikes
- Donkey Republic
There are also some public bicycle pumps at the park.
14 November 2022 - 15 November 2022
Ghent - VIB/UGent FSVM II
There is only one entrance to Technologiepark. At the entrance, please take a ticket - Parking is only allowed in regular parking spots (for instance in front of the building) and in the parking tower. Parking alongside the roads or in other places where there is no regular parking is prohibited.