Learning

, 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...

confusing questions in tech straight away is: Each are six-figure jobs, but when you select the flawed one, you can waste months of your profession learning the flawed skills and miss out on quality...

“The event of mathematics toward greater precision has led, as is well-known, to the formalization of enormous tracts of it, in order that one can prove any theorem using nothing but a couple of...

(NLP) revolutionized how we interact with technology. Do you remember when chatbots first appeared and appeared like robots? Thankfully, that’s prior to now! Transformer models have waved their magic wand and reshaped NLP tasks....

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...

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...

, 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...

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...