This 3-day course will give a complete introduction to machine learning use in the complex world of health informatics and bioinformatics.

The course will cover the use of advanced techniques of predictive modelling and statistical learning (as polygenic risk scoring and regularised methods) for analysing genetics data, an introduction to health informatics to learn how to manage and use patients health information, and will also have room for methods on applied Machine Learning, where state-of-the-art algorithms, as Neural Networks and deep learning models, will be introduced and applied to problems in the domain.

The course will combine the use of R and Python, two of the most common languages for Machine Learning and Health Informatics.