There are four major ML models:
Supervised Machine Learning Algorithms
- Linear Regression
- Logistic Regression
- Random Forest
- Gradient Boosted Trees
- Support Vector Machines (SVM)
- Neural Networks
- Decision Trees
- Naive Bayes
- Nearest Neighbor
Semi-supervised Machine Learning Algorithms
- Unsupervised Machine Learning Algorithms
- k-means clustering
- t-SNE (t-Distributed Stochastic Neighbor Embedding)
- PCA (Principal Component Analysis)
- Association rule
Reinforcement Machine Learning Algorithms
- Q-Learning
- Temporal Difference (TD)
- Monte-Carlo Tree Search (MCTS)
- Asynchronous Actor-Critic Agents (A3C)