Editors Pick

it’s possible to totally master every topic in data science? With data science covering such a broad range of areas — statistics, programming, optimization, experimental design, data storytelling, generative AI, to call a couple...

is the a part of a series of posts on the subject of analyzing and optimizing PyTorch models. Throughout the series, we have now advocated for using the PyTorch Profiler in AI model development and demonstrated the...

to QR Codes “QR” in QR code stands for quick response. QR codes are an emerging and straightforward strategy to retrieve information without typing or searching anything in your phone. These codes are essentially...

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,...