7.1. Models in Machine Learning

Linear models

Kernel methods

Decision trees and ensembles

Neural networks

…probabilitstic models, clustering models, dimensionality reduction models,…

Reinforcement learning models: Q-learning (tabular, and DQN), Policy gradient, Actor-Critic, Proximal Policy Optimization,…