Template:/box-header Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following only explicitly programmed instructions.
Machine learning can be considered a subfield of computer science and statistics. It has strong ties to artificial intelligence and optimization, which deliver methods, theory and application domains to the field. Machine learning is employed in a range of computing tasks where designing and programming explicit, rule-based algorithms is infeasible. Example applications include spam filtering, optical character recognition (OCR), search engines and computer vision. Machine learning is sometimes conflated with data mining, although that focuses more on exploratory data analysis. Machine learning and pattern recognition "can be viewed as two facets of the same field." Template:/box-footer
- ... that the kernel perceptron was the first learning algorithm to employ the kernel trick, already in 1964?
- ... that AltaVista was the first web search engine to employ machine-learned ranking of its search results?
- ... that the group method of data handling, invented in the USSR, was one of the first algorithms capable of training deep neural networks (ca. 1971)?