Machine learning is the field of study within artificial intelligence concerned with statistical algorithms that learn from data and generalize to unseen data, performing tasks without being explicitly programmed for them. The term was coined in 1959 by Arthur Samuel, an IBM researcher and pioneer of computer game playing, and the field now underlies applications from speech recognition to the deep learning systems of the 2010s and beyond. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/
Facts
Origin YearThe year Arthur Samuel coined the term machine learning. Core ConcernHow algorithms improve at tasks by learning from data rather than by being programmed with explicit rules. 1 Machine Learning
Filter Results1 entry
Connections
Associated With
Machine learning is studied as a field within artificial intelligence.
Source Wikipedia: Machine learning
Bioinformatics, Fields Field-to-field association; both are standard neighbouring areas of computing
Field-to-field association; both are standard neighbouring areas of computing
Field-to-field association; both are standard neighbouring areas of computing
Computer Music, Fields Field-to-field association; both are standard neighbouring areas of computing
Source Wikipedia: Computer Vision
Source Wikipedia: Data mining
Source Wikipedia: Data science
Source Wikipedia: Natural Language Processing
Recommender systems are described as employing machine learning.
Source Recommender Systems (Wikipedia)
Includes
Source Wikipedia: Alan Turing
Sources
1. Wikipedia: Machine learning
WikipediaIntroduction and History sections
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without being explicitly programmed.
Introduction section
Machine learning (ML) is a field of study in artificial intelligence
History section
The term machine learning was coined in 1959 by Arthur Samuel, an IBM employee and pioneer in the field of computer gaming and artificial intelligence.
View the Source Wikipedia: Alan Turing
Wikimedia FoundationIncludes: Alan Turing, Early computers and the Turing test sectionQuote, Includes: Alan Turing, Early computers and the Turing test section
It would be better to produce a simpler one to simulate a child's mind and then to subject it to a course of education.
View the Source Wikipedia: Computer Vision
Wikimedia FoundationAssociated With: Computer Vision, Recent work sectionQuote, Associated With: Computer Vision, Recent work section
Recent work has seen the resurgence of feature-based methods used in conjunction with machine learning techniques and complex optimization frameworks.
View the Source Wikipedia: Natural Language Processing
Wikimedia FoundationAssociated With: Natural Language Processing, History sectionQuote, Associated With: Natural Language Processing, History section
Starting in the late 1980s, however, there was a revolution in natural language processing with the introduction of machine learning algorithms for language processing.
View the Source Wikipedia: Data mining
Wikimedia FoundationAssociated With: Data Mining, Lead section, para 1Quote, Associated With: Data Mining, Lead section, para 1
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems.
View the Source Wikipedia: Data science
Wikimedia FoundationAssociated With: Data Science, Foundations sectionQuote, Associated With: Data Science, Foundations section
Data scientists often work with unstructured data such as text or images and use machine learning algorithms to build predictive models.
View the Source Recommender Systems (Wikipedia)
Wikimedia FoundationAssociated With: Recommender Systems, Lead sectionQuote, Associated With: Recommender Systems, Lead section
Major social media platforms, streaming services and e-commerce websites rely on recommender systems that employ machine learning or specialized deep learning recommendation models (DLRMs)
View the Source Reader Challenges (0)
No disputes yet. Spotted an error or a better source? Open the first one.
Sign in to dispute this or suggest a correction.