- How causal inference lifts augmented analytics beyond flatland - Aug 27, 2021.
In our quest to better understand and predict business outcomes, traditional predictive modeling tends to fall flat. However, causal inference techniques along with business analytics approaches can unravel what truly changes your KPIs.
Analytics, Causality, Data Science, Python, Regression
- Must Know for Data Scientists and Data Analysts: Causal Design Patterns - Mar 12, 2021.
Industry is a prime setting for observational causal inference, but many companies are blind to causal measurement beyond A/B tests. This formula-free primer illustrates analysis design patterns for measuring causal effects from observational data.
Causality, Data Science, Design, Design of Experiments, Statistics
- Microsoft’s DoWhy is a Cool Framework for Causal Inference - Aug 28, 2020.
Inspired by Judea Pearl’s do-calculus for causal inference, the open source framework provides a programmatic interface for popular causal inference methods.
Causality, Inference, Machine Learning, Microsoft
- Forecasting Stories 4: Time-series too, Causal too - Jun 1, 2020.
This article is about the story of taking effective business decisions basis a combined model. Let us together study how these components work hand in hand.
Causality, Forecasting, Time Series
- Why Ice Cream Is Linked to Shark Attacks – Correlation/Causation Smackdown - Jan 19, 2019.
Why are soda and ice cream each linked to violence? This article delivers the final word on what people mean by "correlation does not imply causation."
Causality, Causation, Correlation, Overfitting
- Causation in a Nutshell - Jul 20, 2018.
Every move we make, every breath we take, and every heartbeat is an effect that is caused. Even apparent randomness may just be something we cannot explain.
Causality, Causation, Statistics
- The Book of Why - Jun 1, 2018.
Judea Pearl has made noteworthy contributions to artificial intelligence, Bayesian networks, and causal analysis. These achievements notwithstanding, Pearl holds some views many statisticians may find odd or exaggerated.
Bayesian Networks, Causality, Data Science, Judea Pearl, Simpson's Paradox, Statistics
- THE BOOK OF WHY: The New Science of Cause and Effect - May 15, 2018.
A Turing Prize-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize AI.
AI, Bayesian Networks, Book, Causality, Causation, Judea Pearl
- 4 Common Data Fallacies That You Need To Know - Dec 5, 2017.
In this post you will find a list of common the data fallacies that lead to incorrect conclusions and poor decision-making using data. Here you will find great resources and information so that you can always be reminded of these fallacies when you’re working with data.
Causality, Overfitting, Simpson's Paradox