There are three major types of machine learning that exists today. Within each type, there can be hundreds of different techniques for machine learning based on a statistical or mathematical principle, which makes them highly effective in certain circumstances. 1) Supervised machine learning, which is task driven, 2) Unsupervised machine learning, which is data driven, and 3) Reinforcement machine learning, which is feedback driven.
1. Supervised Machine Learning
Supervised machine learning algorithms and software are trained to recognize something using labeled examples. It uses patterns through methods like classification, regression, prediction and gradient boosting, to predict the values of unlabeled data. It receives a known training library of inputs along with the corresponding correct outputs and the algorithm modifies the model by comparing its actual output with correct outputs to find errors.
For example, machine learning algorithms help sift messages as spam in your inbox through training received from users … Continue reading