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🧠 Towards Data Science May 29, 2026
Explaining Lineage in DAX
One of the most important concepts in DAX is lineage. It’s about the information on where something comes from. Let’s se…
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📊 KDnuggets May 26, 2026
Visual Debugging Tools for Machine Learning Workflows
In this article, we cover three topics: what to visualize during training, the tools that provide those visualizations, …
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📊 KDnuggets May 28, 2026
Tweaking Local Language Model Settings with Ollama
In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local langu…
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🧠 Towards Data Science May 27, 2026
They Requested It. I Built It. Nobody Ever Used It.
Why good data work gets ignored after delivery. The post They Requested It. I Built It. Nobody Ever Used It. appeared fi…
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📊 KDnuggets May 29, 2026
The ‘Entry-Level’ Gatekeeper: Auditing Job Descriptions with Textstat
This article shows how to use free, open-source tools like Python and its Textstat library to build a script that automa…
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📊 KDnuggets May 25, 2026
Auditing Model Bias with Balanced Datasets with Mimesis
Learn how to use Mimesis library to generate a balanced, counterfactual dataset that helps analyze potential bias in you…
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🧠 Towards Data Science May 30, 2026
Meta-Cognitive Regulation Might Be the Most Important AI Skill Nobody Is Talking About
As AI gets smarter, the real differentiator may be how well humans regulate their own thinking. The post Meta-Cognitive …
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🧠 Towards Data Science May 27, 2026
Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model
How to Turn Simple Head-to-Head Choices Into Probabilistic Rankings The post Learning From Pairwise Preferences: An Intr…
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