List: ➡️ Causal Inference | Curated by Viyaleta Apgar

Jan 28, 2025
10 stories
➡️ Causal Inference
In
Level Up Coding
by
Ari Joury, PhD
Every Data Scientist Should Know About Bayesian NetworksExploring causalities where correlations are not enough
Jan 21
4
Jan 21
4
causaLens Research & Development
Manufacturing Root Cause Analysis for Data Scientists with Causal AISummary
Oct 13, 2023
1
Oct 13, 2023
1
causaLens Research & Development
Customer Retention for Data Scientists with Causal AI“Predictive insights are of little help unless combined with data-driven prescriptive recommendations for where to engage, what to offer…
Sep 22, 2023
1
Sep 22, 2023
1
In
TDS Archive
by
Zijing Zhu, PhD
Read with Me: A Causality Book ClubStarting from a cat story…
Oct 26, 2023
5
Oct 26, 2023
5
In
Netflix TechBlog
by
Netflix Technology Blog
Causal Machine Learning for Creative InsightsA framework to identify the causal impact of successful visual components.
Jan 11, 2023
6
Jan 11, 2023
6
In
TDS Archive
by
Maham Haroon
Exploring Counterfactual Insights: From Correlation to Causation in Data AnalysisUse of counterfactuals for informed decision-making in data science
Oct 6, 2023
1
Oct 6, 2023
1
In
TDS Archive
by
Rémy Garnier
The Data Scientist’s Dilemma: Answering “What If?” Questions Without ExperimentsA hands-on alternative to Google’s Causal Impact
Jan 9
2
Jan 9
2
In
TDS Archive
by
Lukasz Szubelak
Causal Inference with Python: A Guide to Propensity Score MatchingAn introduction to estimating treatment effects in non-randomized settings using practical examples and Python code
Jul 2, 2024
4
Jul 2, 2024
4
In
Walmart Global Tech Blog
by
Prasun Biswas
Fundamentals of Causal Discovery and Causal Impact AnalysisWhy Causal Analysis?
Mar 1, 2024
1
Mar 1, 2024
1
In
TDS Archive
by
Kevin Wang
Implementing Causal Inference: Trying to Understand the Question of WhyA tutorial on Causal Inference with DoWhy
Mar 7, 2020
6
Mar 7, 2020
6