Editors Pick

Feature selection stays one of the vital critical yet computationally expensive steps within the machine learning pipeline. When working with high-dimensional datasets, identifying which features truly contribute to predictive power can mean the difference...

of Green Dashboards Metrics bring order to chaos, or not less than, that’s what we assume. They summarise multi-dimensional behaviour into consumable signals, clicks into conversions, latency into availability and impressions into ROI. Nonetheless,...

about switching to Data Science in 2026? If the reply is “yes,” this text is for you. I’m Sabrine. I even have spent the last 10 years working within the AI field across Europe—from big...

Standard Large Language Models (LLMs) are trained on a straightforward objective: Next-Token Prediction (NTP). By maximizing the probability of the immediate subsequent token , given the previous context, models have achieved remarkable fluency and...

is a special form of small talk, typically observed in office spaces around a water cooler. There, employees continuously share every kind of corporate gossip, myths, legends, inaccurate scientific opinions, indiscreet personal anecdotes,...

reading the thought-provoking book by Daniel Kahneman (Nobel Prize Winner in Economics and one of the best selling writer of ) and Professors Olivier Sibony and Cass Sunstein. Noise highlights the looming, but often well-hidden, presence of persistent...

than convincing someone of a truth they can not see in their very own data. Data science and sustainability experts face the identical problem: our concepts could also be too abstract and theoretical, making...

concerning the idea of using AI to judge AI, also often called “LLM-as-a-Judge,” my response was: We live in a world where even toilet paper is marketed as “AI-powered.” I assumed this was just...