Table 1.

Type of ML techniques and the algorithms associated with each technique.

Types of ML Techniques	List of Most Common Algorithms
Supervised ML	Support Vector Machine (SVM), Naive-Bayes, K-Nearest Neighbor, Decision Trees, Random Forests (RF), Linear Regression, Logistic Regression, DL
Unsupervised ML	K-Means, Hidden Markov Model (HMM), Principal Component Analysis, Gaussian Model Mixture (GMM), DL
Semi- Supervised ML	Self-Training, Co-Training, Generative methods, Mixture models, Semi-supervised SVM, Graph-based methods
Reinforcement ML	Q-Learning, Temporal Difference, Deep Adversarial Networks