University of Aberdeen - Machine Learning for Healthcare 

Individuals having background in healthcare or health research and want to learn more about machine learning

Candidate with a background in computational or data-intensive sciences and you’re keen to work in the health sector

Supervised and unsupervised machine learning methods

Preparing datasets for machine learning

Evaluating the performance of machine learning algorithms

Theory and implementation of artificial neural networks

Machine learning approaches to natural language processing

Case studies of machine learning applications using health data

The machine learning workflow using the popular data science language R

Technical, ethical and legal challenges in the field

Active areas of research in machine learning

This course explores the intersection of machine learning (ML) and healthcare, providing a comprehensive overview of how advanced computational techniques can be applied to improve patient outcomes, streamline medical processes, and drive innovations in the field

The course covers foundational ML principles and their application in various healthcare contexts, including diagnostics, treatment planning, and personalized medicine