In Knowledge Discovery, machine learning is most commonly used to mean the application of induction algorithms, which is one step in the knowledge discovery process. This is similar to the definition [..]

Advanced machine learning algorithms are composed of many technologies (such as deep learning, neural networks and natural-language processing), used in unsupervised and supervised learning, that oper [..]

The process by which computer systems can be directed to improve their performance over time. Examples are neural networks and genetic algorithms.

The use of data-driven algorithms that perform better as they have more data to work with, “learning” (that is, refining their models) from this additional data. This often involves cross-validation w [..]

The ability of a device to improve its performance based on its past performance.

A field of Computer Science that aims at constructing methods, such as classifiers, to integrate available knowledge extracted from existing data.

A way of programming computers that allows for the evolution of computational behavior based on empirical data or past experience. Machine learning focuses particularly on the ability of computers to [..]

In computer science machine learning refers to a type of data analysis that uses algorithms that learn from data. It is a type of artificial intelligence (AI) that provides systems with the ability to [..]

A field of computer science that explores the construction and study of algorithms that can learn from and make predictions on data. Categories of machine learning problems include: Recommendation min [..]

A subgenre of AI in which computer programs and algorithms can be designed to “learn” how to complete a specified task, with increasing efficiency and effectiveness as it develops. Such programs can use past performance data to predict and improve future performance.

The use of algorithms to allow a computer to analyze data for the purpose of “learning” what action to take when a specific pattern or event occurs.

Sub-speciality of artificial intelligence concerned with developing methods for software to learn from experience, or to extract knowledge from examples in a database. See also: Artificial intelligenc [..]

The ability of a machine to recognize patterns that have occurred repeatedly and improve its performance based on past experience.

A type of artificial intelligence that provides computers with the ability to learn without being specifically programmed to do so, focusing on the development of computer applications that can teach themselves to change when exposed to new data.

Machine learning is an artificial intelligence (AI) discipline geared toward the technological development of human knowledge. Machine learning allows computers to handle new situations via analysis, [..]

A way of programming computers that allows for the evolution of computational behavior based on empirical data or past experience. Machine learning focuses particularly on the ability of computers to [..]

A step towards artificial intelligence, it’s the ability for a computer program to learn from data inputs in order to make predictions.

Machine Learning is the process of selecting the best or most predictive element(s) or data point(s) from a wide selection of information Mailer

(artificial intelligence) A field of study concerned with the design and development of algorithms and techniques that allow computers to learn.

Machine learning, computational learning theory, and similar terms are often used in the context of Data Mining, to denote the application of generic model-fitting or classification algorithms for pre [..]