The Kolmogorov–Smirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling
days, people are taking more loans than ever. For anyone who wants to build their own house, home loans are ...
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Analysis of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour
Disclosure: I work at Carrefour. The views expressed in this article are my own. The data and examples presented are ...
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Building a Unified Intent Recognition Engine
systems, understanding user intent is fundamental especially in the customer service domain where I operate. Yet across enterprise teams, intent ...
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A Visual Guide to Tuning Gradient Boosted Trees
Introduction My previous posts looked at the bog-standard decision tree and the wonder of a random forest. Now, to complete ...
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Docling: The Document Alchemist | Towards Data Science
Why do we still wrestle with documents in 2025? in any data-driven organisation, and you’ll encounter a host of PDFs, Word ...
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Is Your Training Data Representative? A Guide to Checking with PSI in Python
To get the most out of this tutorial, you should have a solid understanding of how to compare two distributions. ...
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How to Context Engineer to Optimize Question Answering Pipelines
engineering is one of the most relevant topics in machine learning today, which is why I’m writing my third article ...
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Anthropic Agrees to Pay Authors at Least $1.5 Billion in AI Copyright Settlement
Anthropic has agreed to pay at least $1.5 billion to settle a lawsuit brought by a group of book authors ...
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Should We Use LLMs As If They Were Swiss Knives?
or so, it has been impossible to deny that there has been an increase in the hype level towards AI, ...
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The Generalist: The New All-Around Type of Data Professional?
(or 2010s to be more precise) big-data boom brought the emergence of specialization in data roles. What used to be ...
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