classification: logistic regression, linear support vector machine (SVM), naive Bayes, classification tree • regression: generalized linear models (GLMs), regression tree • collaborative filtering: alternating least squares (ALS) • clustering: k-means • decomposition: singular value decomposition (SVD), principal component analysis (PCA) • statistics: summary statistics • evaluation: binary classification • optimization: gradient descent, L-BFGS