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Reading Research Papers in the Age of LLMs

Reading Research Papers in the Age of LLMs

by Dr. Owns | Dec 6, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

How I keep up with papers with a mix of manual and AI-assisted reading The post Reading Research Papers in the Age of LLMs appeared first on Towards Data Science. ​How I keep up with papers with a mix of manual and AI-assisted reading The post Reading Research Papers...
Reading Research Papers in the Age of LLMs

The Machine Learning “Advent Calendar” Day 6: Decision Tree Regressor

by Dr. Owns | Dec 6, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

During the first days of this Machine Learning Advent Calendar, we explored models based on distances. Today, we switch to a completely different way of learning: Decision Trees. With a simple one-feature dataset, we can see how a tree chooses its first split. The...
Reading Research Papers in the Age of LLMs

How We Are Testing Our Agents in Dev

by Dr. Owns | Dec 6, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way. The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science. ​Testing that your AI agent is performing as expected is not...
Reading Research Papers in the Age of LLMs

The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor

by Dr. Owns | Dec 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Cursor is great at writing code but not as good when it comes to design The post The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor appeared first on Towards Data Science. ​Cursor is great at writing code but not as good when it comes to design...
Reading Research Papers in the Age of LLMs

The Machine Learning “Advent Calendar” Day 5: GMM in Excel

by Dr. Owns | Dec 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities learned...
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