(i) Linear and NonlinearRegression (ii )SupervisedLearning  • Perceptron 
 • Backpropagation 
 • Deep Learning, Recurrent Networks, Autoencoders 
 • RBF Networks, Support Vector Machine 
 • KNN, 
 • Decision Trees, Ensemble Methods 
(iii) LearningTheory 
(iv) FeatureExtraction (v) UnsupervisedLearning 
 • K-Means, EM-Clustering, PCA, ICA 
 • Boltzmann Machine 
(vi )BayesianNetworks