data science

previous article, we introduced the core mechanism of Gradient Boosting through Gradient Boosted Linear Regression. That example was deliberately easy. Its goal was not performance, but understanding. Using a linear model allowed us to make...

of this series, we'll speak about deep learning. And when people speak about deep learning, we immediately consider these images of deep neural networks architectures, with many layers, neurons, and parameters. In practice, the actual...

Introduction of Artificial Intelligence up until now has been defined by a straightforward, albeit expensive, rule: larger is all the time higher. As Large Language Models (LLMs) scale into the trillions of parameters, they...

Never miss a brand new edition of , our weekly newsletter featuring a top-notch collection of editors’ picks, deep dives, community news, and more. Could it  be the top of one other 12 months? We’ve been...

first stable v1.0 release in late October 2025. After spending the past two months working with their latest APIs, I genuinely feel that is essentially the most coherent and thoughtfully designed version of...

For 18 days, we've got explored many of the core machine learning models, organized into three major families: distance- and density-based models, tree- or rule-based models, and weight-based models. Up so far, each article focused...

of Contents 📄Python Notebook🍯Introduction🔍Example ABC Agent Search Progress⏳Agent Lifecycle in Swarm Optimization🐝The three Bee Agent Roles🪻Iris Dataset❄ Clustering – No labels? No problem!🏋️Fitness Model for Clustering🤔Confusion Matrix as a Diagnostic Tool🏃Running the Agentic AI...

have revolutionized the way in which I program. After I first learned coding back in 2019, I wrote all of the code, character for character. In hindsight, I’m grateful for this experience, as...