This chapter introduces the concept of machine learning. We begin by defining what it means for a system to 'learn' from data and examine how this approach contrasts with traditional programming techniques. You will see examples of machine learning in use and get acquainted with the primary categories: supervised, unsupervised, and reinforcement learning. Finally, we provide a high-level overview of the steps involved in a typical machine learning project and mention some common tools.