ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus
From Controlled to Undisciplined Data: Estimating Causal Effects in the Era of Data Science Using a Potential Outcome Framework · Issue 3.3, Summer 2021
7 – Causal Inference – Machine Learning Blog | ML@CMU | Carnegie Mellon University
7 – Causal Inference – Machine Learning Blog | ML@CMU | Carnegie Mellon University
DoWhy – A library for causal inference - Microsoft Research
An introduction to Causal inference | Fabian Dablander
Causal Inference. Answering causal questions with Python | by Shawhin Talebi | Towards Data Science
A review of causal inference for biomedical informatics - ScienceDirect
An introduction to Causal inference | Fabian Dablander
Why do we need causality in data science? | by Aleix Ruiz de Villa | Towards Data Science
Double Machine Learning for causal inference | by Borja Velasco | Towards Data Science
Using Causal Inference to Improve the Uber User Experience | Uber Blog
2.2 - The Fundamental Problem of Causal Inference - YouTube