What is Machine Learning? Definition, Types, Applications
Machine Learning: Definition, Methods & Examples This approach not only maximizes productivity, it increases asset performance, uptime, and longevity. It can also minimize worker risk, decrease liability, and improve regulatory compliance. Semi-supervised learning falls in between unsupervised and supervised learning. Regression and classification are two of the more popular analyses under supervised learning. Regression analysis is used to discover and predict relationships between outcome variables and one or more independent variables. Neural networks and machine learning algorithms can examine prospective…
