Discover the evolution of gradient boosting, a key technique introduced by Jerome in 1999. Unlike bagging methods, gradient boosting continuously works with the original dataset, enhancing predictions through a series of models. Learn how the first model serves as a simple average, setting the stage for more complex predictions in various applications.
