Machine learning and deep learning fundamentals
Date: 1 - 2 April 2026
Language of instruction: English
Machine learning and deep learning are transforming research by enabling data-driven discoveries and predictive modeling. For many researchers, these techniques can unlock new insights from complex datasets, but getting started can feel overwhelming. This two-day workshop is designed for researchers with little or no prior experience in machine learning who want to apply these methods in their own work.
Keywords: Artificial Inteligence, programming, software
Venue: Ghent - VIB/UGent FSVM II, Technologiepark 75
City: Zwijnaarde
Country: Belgium
Postcode: 9052
Learning objectives:
- and adopt solutions such as regularization or dropout”
- “Apply data preprocessing techniques such as handling missing values scaling features and splitting datasets”
- “Construct simple neural networks and convolutional neural networks with PyTorch framework”
- “Explain the fundamental concepts of machine learning and deep learning”
- “Identify issues with model behavior like overfitting
- “Implement regression and classification models with scikit-learn and evaluate their performance using appropriate metrics”
- “Interpret the results of machine learning and deep learning models to make informed decisions for research applications”
Organizer: VIB
Event types:
- Workshops and courses
Sponsors: Vlaams Supercomputer Centrum
Instructors: Jolan Heyse,
Bruna Piereck
Activity log

Belgium