• monte carlo tree search (mcts)
• primary component analysis (pca)
• linear regression
• decision trees
• support vector machines
• k-means
• boosting and ensemble learning
• proximal policy optimization (ppo)
• supervised learning
• unsupervised learning
• bias-variance trade off
• representation learning
• self supervised learning
• transformers
• gans
• diffusion models
• graph neural networks
• neural ordinary differential equations
• loss function
• gradient descent