What are ensemble methods, and how do they improve the performance of machine learning models? What are the main types of ensemble techniques such as bagging, boosting, and stacking? How do ensemble methods reduce overfitting and increase model accuracy? What are some commonly used algorithms that implement ensemble techniques? In what scenarios are ensemble methods most beneficial?