MED HUM AI SA Sanchit Suman · Data Science Collective Going beyond AUC : Auditing medical AI models with DoWhy How a ResNet50 trained on chest X-rays learned to detect scanners, not disease — and how causal inference caught it.
AI MDA ECO MKT TCH SCI LU Lukasz Szubelak · LS Analytics Causal Inference Made Practical: Unlocking Business Insights with the DoWhy Library Every analyst stared at a dashboard showing a seemingly clear pattern many times. Premium customers churn more, marketing campaigns…
MED AI SCI BI Billy Chan · Data Science Explained Causal Inference with DoWhy (6): Diagnostics with Standardised Mean Difference (SMD) If you’ve followed Parts 1 to 5 of this series, you should already be able to run causal inference with DoWhy in practice. The concepts can…
AI SCI BI Billy Chan · Data Science Explained Causal Inference with DoWhy (5): Refutation Tests Refutation asks a simple but powerful question:
AI SCI BI Billy Chan · Data Science Explained Causal Inference with DoWhy (4): Inverse Probability of Treatment Weighting (IPTW) In the previous article, I talked about propensity score matching. The propensity score is the probability that a subject receives the…
AI SCI BI Billy Chan · Data Science Explained Causal Inference with DoWhy (3): Propensity Score Matching In the previous two articles, we talked about the basics of causal inference and the simplest way to control for covariates: linear…
AI SCI BI Billy Chan · Data Science Explained Causal Inference with DoWhy (2): Linear Regression How linear regression estimates causal effects, why it works, and where it falls short compared with matching methods.
AI SCI BI Billy Chan · Data Science Explained Causal Inference with DoWhy (1): Chains, Forks, and Colliders Correlation can fool us. Learn how chains, forks, and colliders help uncover real causal effects using DoWhy.
MED HUM RI Rizky Adn Damara Alfarizi Dari Prediksi ke Pemahaman: Menjelaskan Model Penyakit Jantung dengan SHAP dan DoWhy Latar Belakang
ECO AI SCI FO Ford Lucas · Write A Catalyst Discovering Hidden Causality: My Journey Using Python to Move Beyond Correlation in Data Science How I applied causal inference to uncover the “why” behind data patterns, using DoWhy, EconML, and real-world experiments.
AI JU Juhi Singh · Data Science + AI at Microsoft Causal inference in practice: Methodological lessons from DoWhy, Fixed Effects, and EconML By Juhi Singh, Bonnie Ao, Nehal Jain, and Sebastian Antinome