Learning objectives
- Understand the main families of machine-learning algorithms.
- Build, train and evaluate a predictive model.
- Avoid common pitfalls (overfitting, bias).
- Understand the lifecycle of an AI project.
Programme
- Overview of AI and machine learning.
- Supervised learning: regression and classification.
- Unsupervised learning and clustering.
- Evaluation, validation and metrics.
- Introduction to deep learning.
- Industrialisation and MLOps (overview).