Rok Hribar

In recent years, the use of machine learning (ML) has spread to many fields of science and industry and has even become an everyday tool in our lives. We will present a basic framework for how ML is most commonly used and what advances brought upon its immense popularity. Following a brief overview of ML techniques we will address the factors that impact the success of this methodology alongside with advantages and drawbacks of using ML. We will touch some state-of-the-art ML architectures from artificial intelligence and demystify the logic behind their structure. We will conclude with some examples of applications of ML in exoplanetary science with special emphasis on use cases from the EXOWORLD project.