Machine Learning, Data Science.
gradient descent to optimize the parameters (such as in gradient boosting). To start gradient descent on a GLM, you need a random initialization: random parameters are affected to all features, and gradient descent tunes them to minimize the loss function. As you add more and more linear models, it