List: Causal | Curated by Prasun Biswas

Feb 12, 2025
27 stories
Causal
Ryuta Yoshimatsu
Causal ML for Root Cause AnalysisIntroduction and Application of Causal Machine Learning in Root Cause Analysis
Feb 10
3
Feb 10
3
In
Data Science at Microsoft
by
Ganga Meghanath
Causal analysis overview: Causal inference versus experimentation versus causal discoveryAn introductory overview of causal analysis describing three methodologies used to generate causal insights to power data-driven decision…
Nov 5, 2024
3
Nov 5, 2024
3
In
TDS Archive
by
Arthur Cruiziat
Causal Machine Learning for Customer Retention: a Practical Guide with PythonAn accessible guide to leveraging causal machine learning for optimizing client retention strategies
Aug 30, 2024
3
Aug 30, 2024
3
In
Causality in Data Science
by
Kenneth Styppa
Introducing Causal Feature LearningCausal Feature Learning Pt. 1
Oct 22, 2024
1
Oct 22, 2024
1
Microprediction
A New Way to Detect Causality in Time-Series: Interview with Alejandro Rodriguez DominguezI virtually sat down with Alejandro Rodriguez Dominguez to discuss his recent paper with Om Hari Yadav on causality detection. I’m always…
Nov 1, 2024
3
Nov 1, 2024
3
Mohamed Hmamouch
Causal Inference Part-2How to Model Causality ?
Apr 29, 2024
1
Apr 29, 2024
1
Robson Tigre
When and how to apply causal inference in time seriesIntuition, step-by-step script, and limitations of the CausalImpact and CausalArima methods
Sep 17, 2024
2
Sep 17, 2024
2
In
Data Science at Microsoft
by
Xikai Zhao
Using causal inference to measure business impact after program launchAlternatives for when experimentation is not possible
May 7, 2024
May 7, 2024
In
Data Science at Microsoft
by
Jane Huang
Causal inference (Part 1 of 3): Understanding the fundamentalsBy Jane Huang, Daniel Yehdego, Deepsha Menghani, Siddharth Kumar, Lisa Cohen, and Ryan Bouchard
Oct 22, 2020
7
Oct 22, 2020
7
Adam Davis
How to #7: A/B testing with DoWhy and EconML“Painting of Gauss” -Christian Jensen
Feb 12, 2024
Feb 12, 2024
In
TDS Archive
by
Ryan O'Sullivan
De-biasing Treatment Effects with Double Machine LearningCausal AI, exploring the integration of causal reasoning into machine learning
Apr 5, 2024
1
Apr 5, 2024
1
In
TDS Archive
by
Bernhard Brugger
A Guide to Panel Data Regression: Theoretics and Implementation with Python.Panel data regression is a powerful way to control dependencies of unobserved, independent variables on a dependent variable, which can…
Jan 6, 2021
26
Jan 6, 2021
26
In
TDS Archive
by
Ryan O'Sullivan
Making Causal Discovery work in real-world business settingsCausal AI, exploring the integration of causal reasoning into machine learning
Mar 4, 2024
5
Mar 4, 2024
5
In
TDS Archive
by
Samuele Mazzanti
Using Causal ML Instead of A/B TestingIn complex environments, Causal ML is a powerful tool because it is more flexible than A/B Testing, and it doesn’t require strong…
Nov 29, 2022
17
Nov 29, 2022
17
In
Towards AI
by
Akanksha Anand (Ak)
Causal Inference Python ImplementationMastering Causal Inference in Python
Feb 18, 2024
1
Feb 18, 2024
1
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
Data Science at Microsoft
by
Lisa Cohen
Attribution analysis: How to measure impact? (Part 2 of 2)By Lisa Cohen, Ryan Bouchard, Jane Huang, Daniel Yehdego and Siddharth Kumar
Aug 15, 2020
3
Aug 15, 2020
3
In
Talks Grupodot
by
Diego ibagon
Multi-channel campaigns with attribution modelsModels of attribution and causal inference [1/5]
Sep 4, 2018
Sep 4, 2018
Donna L Roberts, PhD (Psych Pstuff)
Attribution Theory — Learner’s Responses to FailureCausal attributions determine affective reactions to success and failure. — Weiner (1980)
Jul 10, 2021
5
Jul 10, 2021
5
Shekhar Khandelwal
Counterfactuals for Causal Analysis via pymc : do-operatorStep 1. Build a pymc model skeleton
Aug 5, 2023
Aug 5, 2023