{"id":891,"date":"2022-05-02T17:29:23","date_gmt":"2022-05-02T17:29:23","guid":{"rendered":"https:\/\/smartitforce.com\/?page_id=891"},"modified":"2022-05-02T17:30:31","modified_gmt":"2022-05-02T17:30:31","slug":"machine-learning","status":"publish","type":"page","link":"http:\/\/smartitforce.com\/index.php\/machine-learning\/","title":{"rendered":"Machine learning"},"content":{"rendered":"

Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as \u201ctraining data\u201d, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.<\/p>\n

A subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers; but not all machine learning is statistical learning. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.<\/p>\n<\/div><\/div>