The aim of this course is to explore the potential of Machine Learning (ML) techniques applied to Record Linkage (RL). We will start the course by providing a gentle introduction to ML. Then, in a series of more specialized sessions, we will revisit the classical steps of record linkage (data processing/cleaning, blocking, comparison...) and will try to understand how ML can be used to increase linkage quality, performance and level of automation.