Decision Trees
Support Vector Machines (SVM)
Neural Networks   
Naïve Bayes
k-Nearest Neighbors (k-NN)
Gradient Boosting Machines (GBM)
Random Forests
DBSCAN
Gaussian Mixture Models (GMM)
Principal Component Analysis (PCA)
Independent Component Analysis (ICA)
t-SNE
Latent Dirichlet Allocation (LDA)
Association Rules (Apriori, FP-Growth)
Policy Gradients
Actor-Critic Methods
Proximal Policy Optimization (PPO)
Monte Carlo Tree Search (MCTS)
SARSA
Temporal Difference Learning (TD Learning)
Trust Region Policy Optimization (TRPO)