This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...

This course covers the core concepts, theory, algorithms and applications of machine learning. We cover supervised learning topics such as classification (Naive Bayes, Logistic regression, Support ...

To encourage continued learning after the course, we will also provide an overview of available web-based courses and exercises. Learn important statistical and bioinformatics concepts for analysing ...