data science

, 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,...

were first introduced for images, and for images they are sometimes easy to know. A filter slides over pixels and detects edges, shapes, or textures. You possibly can read this text I wrote earlier...

, cleaned the information, made a number of transformations, modeled it, after which deployed your model to be utilized by the client.  That’s a whole lot of work for an information scientist. However the job...

, we ensemble learning with voting, bagging and Random Forest. Voting itself is simply an aggregation mechanism. It doesn't create diversity, but combines predictions from already different models.Bagging, however, explicitly creates diversity by training...