Here you will find articles covering supervised machine learning (classification, regression).
What is Supervised Machine Learning?
What is Classification?
What is Regression?
Linear Programming for Linear Regression
Bayes Classifier and Naive Bayes Tutorial
Tutorial: K-Nearest Neighbor classifier for MNIST
Support Vector Machines (SVM) and Support Vector Regression (SVR)
What is L1 and L2 Regularization?
What is ElasticNet?
Maximum Likelihood Estimation (MLE) and Maximum A Posteriori (MAP)
Deep Learning Tutorial part 1/3: Logistic Regression
Deep Learning Tutorial part 2/3: Artificial Neural Networks
Deep Learning Tutorial part 3/3: Deep Belief Networks