Causal inference
Artificial Intelligence
Causal ML for the Aspiring Data Scientist
: Limitations of Machine Learning
As an information scientist in today’s digital age, it's essential to be equipped to reply quite a lot of questions that go far beyond easy pattern recognition. Typical machine learning...
Artificial Intelligence
Evaluation of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour
A store’s assortment is a whole and varied range of products sold to customers. It's subject to evolve based on various aspects corresponding to: economic conditions, consumer trends, profitability, quality or compliance issues, renewal...
Artificial Intelligence
Regression Discontinuity Design: How It Works and When to Use It
You’re an avid data scientist and experimenter. You already know that randomisation is the summit of Mount Evidence Credibility, and you furthermore mght know that when you may’t randomise, you resort to observational data...
Artificial Intelligence
LLMs Are Not Reasoning—They’re Just Really Good at Planning
Large language models (LLMs) like OpenAI’s o3, Google’s Gemini 2.0, and DeepSeek’s R1 have shown remarkable progress in tackling complex problems, generating human-like text, and even writing code with precision. These advanced LLMs are...
Artificial Intelligence
Myths vs. Data: Does an Apple a Day Keep the Doctor Away?
Introduction
You’ve probably heard these sayings several times, but do they really delay once we have a look at the info? In this text series, I need to take popular myths/sayings and put...
Artificial Intelligence
A causal theory for studying the cause-and-effect relationships of genes
By studying changes in gene expression, researchers find out how cells function...
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