Date: 1 - 2 April 2026

Language of instruction: English

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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


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