The 10 Algorithms Machine Learning Engineers Need to Know

The original ensemble method is Bayesian averaging, but more recent algorithms include error-correcting output coding, bagging, and boosting. So how do ensemble methods work and why are they superior to individual models? Some of the applications of PCA include compression, simplifying data for easier learning, visualization. Notice that domain knowledge is very important while choosing whether to go forward with PCA or not. It is not suitable in cases where data is noisy (all the components of PCA have quite a high variance).