data science

TLDR in healthcare often output binary decisions comparable to disease or no disease, which by themselves cannot produce a meaningful AUC. AUC remains to be the usual technique to compare risk and detection models in...

, we'll implement AUC in Excel. AUC is normally used for classification tasks as a performance metric. But we start with a confusion matrix, because that's where everyone begins in practice. Then we'll see why a...

concentrate on isolated tasks or easy prompt engineering. This approach allowed us to construct interesting applications from a single prompt, but we're beginning to hit a limit. Easy prompting falls short after we...

, Databricks has shaken the information market once more. The corporate launched its free edition of the Databricks platform It's an incredible resource for learning and testing, to say the least. With that in mind,...

of my Machine Learning Advent Calendar. Before closing this series, I would really like to sincerely thank everyone who followed it, shared feedback, and supported it, specifically the Towards Data Science team. Ending this calendar...

In a previous article, I of an important techniques I utilize to code effectively with AI agents. In this text, I’m continuing with 4 additional techniques, all of which I exploit each day. I imagine...

: The Midnight Paradox Imagine this. You’re constructing a model to predict electricity demand or taxi pickups. So, you feed it time (corresponding to minutes) starting at midnight. Clean and easy. Right? Now your model sees...

be a sensitive topic. Perhaps best avoided on first encounter with a Statistician. The disposition toward the subject has led to a tacit agreement that α = 0.05 is the gold standard—in fact,...