Workshops and courses

ELIXIR node event Machine learning and deep learning fundamentals

View event

Date: 1 - 2 April 2026

Language of instruction: English

Loading map...

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. Through a mix of clear explanations and hands-on exercises in Jupyter notebooks, participants will learn how to process data, build regression and classification models, and train neural networks and convolutional neural networks. By the end of the training, you will understand the fundamentals of machine learning and deep learning and gain practical skills to start applying these techniques to your research projects. 

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

Activity log