Causal Data Science workshop

About this talk

Causal data science is a hot topic in the business applications of machine learning that go beyond predicting a value to actually deciding the best intervention to take based on such a prediction. We will briefly provide the key concepts and methods of causal inference (the topic of this year’s Nobel prize in economics!), and then move on to some hands-on practice with Jupyter notebooks based on business use cases. No prior knowledge of causal inference is required.