Module 1: Introduction to Machine Learning
- Overview of machine learning concepts and applications in bioinformatics.
- Introduction to key algorithms used in machine learning for bioinformatics, including neural networks, decision trees, graphical neural networks and transformers.
- Overview of key architectures of transformers (tokenization, embedding, encoder, decoder).
Presenter: To be announced.