In this session, we introduce causaLab, the causaLens platform module that allows data scientists to easily produce causal models. We’ll illustrate real-world scenarios in which standard modelling fails, give some background into the theory behind causal inference, and fit causal modes using causalNet.
This webinar is for:
- Anyone curious about causal models but not sure where to start
- Data scientists and engineers looking to dig deeper into Causal AI and model building
- Causality expert interested in exploring some of the new developments in the field
Watch causaLens’ Andre Franca, Director of Applied Data Science as he explains the benefits of causal models and delivers a live demo of causaLab