Mathematical implementation of various machine learning algorithms:
-
Kernel Prediction (Gaussian, Mat`ern of order 2, Epanechnikov),
-
L1 and L2 regularization (ADMM and Proximal algoritm),
-
LDA (train and classification),
-
SVM algorithms (primal form and dual form)
-
Generative models (Mixture model and Naive Bayes model)
-
Neural Networks (Sequential and Fully Connected model)