Machine learning algorithms

1. Classification

1.1. k-Nearest Neighbor

1.2. Logistic regression

1.3. Naive Bayes

1.4. Decision tree

1.5. Random forest

2. Regression

2.1. Linear regression

2.2. Multivariate linear regression

2.3. Polynomial regression

2.4. Cox regression

3. Clustering

3.1. k-Means

3.2. k-Medians

3.3. Expectation maximization

3.4. Hierarchical

3.5. Self-organizing maps

4. Deep learning

4.1. Multi-layer perceptron

4.2. Recurrent neural networks

4.3. Convolutional neural networks

4.4. Boltzmann machine

4.5. Multi-layer autoencoder