Doctoral

This course aims to cover the fundamental principles of machine learning and artificial intelligence (AI). Through interactive sessions, participants will have the opportunity to reinforce their understanding of these concepts using user-friendly tools that do not necessitate coding.

Throughout the course, we will explore various aspects, including data sourcing, data cleansing techniques, and the construction of predictive models. Key topics to be covered include regression, classification, neural networks, clustering, graph and text analytics, as well as the development of chatbots.