👉 Boosting is a machine learning technique used to increase the performance of an algorithm by adding more features or parameters to it. It's often used in conjunction with gradient descent, which is a popular optimization method for many machine learning algorithms. In boosting, the model is trained on multiple instances from the same dataset and then used to predict new data points. Instead of trying to solve the problem directly, the goal is to find patterns or relationships that can be exploited by the algorithm. This can lead to more
