What is Supervised Machine Learning? || S upervised Machine Learning techniques and algorithms. supervised machine learning supervised machine learning is one of the method of machine learning which uses various machine learning mathematical techniques to train the machine using data which is already labeled. someone can build supervised machine learning algorithms from labeled training data to predict the same. Some of the examples of supervised machine learning systems are self-driving cars, expert systems, facial recognition programs, chatbots and robots which support future judgments. following are the mathematical techniques that are used in building supervised machine-learning algorithms. 1) Linear Regression 2) Logistic Regression 3) Decision Tree 4) Random forest 5) support vector machine Linear Regression: The linear regression technique uses a linear mathematical formula/technique to predict the dependent variable or ...