Hidden Markov Model is an Unsupervised Machine Learning Algorithm which is part of the Graphical Models. However Hidden Markov Model (HMM) often trained using supervised learning method in case t...

Coordinate Descent is another type of optimization algorithm used mainly for strongly convex and Lasso Regression function. You are probably aware of Gradient Descent, for solving Least Square Re...

Linear Regression often is the introductory chapter of Machine Leaning and Gradient Descent probably is the first optimization technique anyone learns. Most of the time, the instructor uses a Con...