Tag: Causal Inference, Causality, machine learning, Modeling, probability, Statistics
An Introduction to Modeling Mindsets
A mathematical model is a representative of a real-world phenomenon. We seek to understand the world and take action accordingly using models. This includes everything...
Why Causal Inference in Observational Studies?
Experimental Studies vs Observational Studies Causal Inference is concerned with a very specific kind of prediction problem: predicting the results of an action,...
Mind over Data – Towards Causality in AI
Data Centric AI vs Model Centric AI The structure of modern applied AI stands on the bricks of data. For a good AI/ML practice, a solid data practice is the key. This...