What is boosting in machine learning?

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. We train machine learning models to predict values such as the weather, stock prices, the class of an image, or the sentiment of a social media post. However, often, machine learning models fail to meet the performance levels that we expect of them. There are several solutions to improve the accuracy of machine learning models. One popular method is "boosting," an ensemble learning technique that brings together several ML models that perform poorly alone but stronger together.