General principles
General principles
Linear regression
Linear regression
Multinomial logit regression
Multinomial logit regression
Neural networks
Backpropagation neural networks
Neural network ensembles
Neural network ensembles
Decision forest
RDF algorithm
Linear discriminant analysis
Linear discriminant analysis
Principal component analysis
Principal component analysis
Hierarchical clustering
Hierarchical clustering algorithms
Parallel k-means and k-means++ clustering algorithms
k-means clustering
Neural networks: improving generalization
Article with review of basic concepts
