Causal-Inference
DoubleML: Machine Learning Meets Causal Inference
Causal-Inference
DoubleML combines machine learning with econometrics to extract causal insights from observational data. This tutorial covers its core concepts, real-world applications, and how it overcomes traditional causal inference limitations.
Causal Inference Fundamentals: When A/B Testing Is Not Feasible
Causal-Inference
Discover how causal inference unlocks insights when A/B testing isn’t possible. Data scientists can construct ‘parallel worlds’!
Why A/B Test Matters: The Science Trumps Gut Feelings
Ab-Testing
Causal-Inference
Product-Analytics
The limitations of human intuition and the power of controlled experiments in modern product development.