Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the development of algorithms that take as input empirical data, such as that from sensors or databases. The algorithm is designed to (a) identify (i.e., quantify) complex relationships thought to be features of the underlying mechanism that generated the data, and (b) employ these identified patterns to make predictions based on new data. Data can be seen as instances of the possible relations between observed variables; the algorithm acts as a machine learner which studies a portion of the observed data (called examples of the data or training data) to capture characteristics of interest of the data's unknown underlying probability distribution, and employs the knowledge it has learned to make intelligent decisions based on new input data.
One fundamental difficulty is that the set of all possible behaviors given all possible inputs is (in most cases of practical interest) too large to be included in the set of observed examples. Hence the learner must generalize from the given examples in order to produce a useful output from new data inputs.
Optical character recognition, in which printed characters are recognized automatically based on previous examples, is a classic engineering example of machine learning.
Read more about Machine Learning: Definition, Generalization, Machine Learning, Knowledge Discovery in Databases (KDD) and Data Mining, Human Interaction, Algorithm Types, Theory, Applications, Software, Journals and Conferences
Famous quotes containing the words machine and/or learning:
“Goodbye, boys; Im under arrest. I may have to go to jail. I may not see you for a long time. Keep up the fight! Dont surrender! Pay no attention to the injunction machine at Parkersburg. The Federal judge is a scab anyhow. While you starve he plays golf. While you serve humanity, he serves injunctions for the money powers.”
—Mother Jones (18301930)
“It is no small mischief to a boy, that many of the best years of his life should be devoted to the learning of what can never be of any real use to any human being. His mind is necessarily rendered frivolous and superficial by the long habit of attaching importance to words instead of things; to sound instead of sense.”
—William Cobbett (17621835)