CatBoost is a machine learning gradient-boosting algorithm that’s particularly effective for handling data sets with categorical features. Our expert explains how CatBoost works and why it’s so effective.
Few-shot learning allows us to feed AI models a small amount of training data from which to learn. Here’s how few-shot learning works and why it’s important.
Researchers working on artificial intelligence at Facebook recently terminated a project. Our expert explains why and explores the ramifications on the broader field.
Web scraping and machine learning are currently entwined in a feedback loop in which each leads to increasing sophistication in the other’s methods. Our expert examines the state of the field.
