List-of-ML-algorithms

This is a list of ML algorithms that are classifies into 4 broad categories. Updated frequently. The four cateegories are:

• Supervised learning
• Unsupervised learning
• Semi-supervised learning
• Reinforcement learning

Supervised learning

• Decision Trees
• Naive Bayes Classification
• Support vector machines for classification problems
• Random forest for classification and regression problems
• Linear regression for regression problems
• Ordinary Least Squares Regression
• Logistic Regression
• Ensemble Methods

Unsupervised learning

• K-means for clustering problems
• Apriori algorithm for association rule learning problems
• Principal Component Analysis
• Singular Value Decomposition
• Independent Component Analysis
• Novelty detection
• Deep learning or deep belief networks.
• Bayesian graphical models
• Correspondence Analysis
• Multidimensional scaling
• PLS (partial least squares)
• Agglomerative clustering

Semi-supervised learning

• Generative models (GANs)
• Low-density separation
• Graph-based methods (manifold learning)
• Heuristic approaches (using different models to train on different (ideally disjoint) sets of features and generate labeled examples for one another.)

Reinforcement learning

• Q-learning
• SARSA
• Deep Q-network

Made for the article : https://www.journaldev.com/?p=44761

© Arkaprabha Majumdar (Journal Dev IT)