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Machine Learning

Also Known As ML
Computing Methodologies

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 Year
1959 1
The year Arthur Samuel coined the term machine learning.
Core Concern
How algorithms improve at tasks by learning from data rather than by being programmed with explicit rules. 1
Connections

Associated With

Artificial Intelligence, Fields

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

Brain-Computer Interface, Fields

Field-to-field association; both are standard neighbouring areas of computing

Computational Creativity, Fields

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
Data Mining, Fields
Source Wikipedia: Data mining
Data Science, Fields
Source Wikipedia: Data science
GPU Computing, Fields
Source Wikipedia: Natural Language Processing

Recommender systems are described as employing machine learning.

Source Recommender Systems (Wikipedia)

Includes

Sources
1. Wikipedia: Machine learning
Wikipedia
  • Introduction 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.
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Wikipedia: Alan Turing
Wikimedia FoundationIncludes: Alan Turing, Early computers and the Turing test section
Quote, 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.
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Wikipedia: Computer Vision
Wikimedia FoundationAssociated With: Computer Vision, Recent work section
Quote, 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.
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Wikipedia: Natural Language Processing
Wikimedia FoundationAssociated With: Natural Language Processing, History section
Quote, 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.
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Wikipedia: Data mining
Wikimedia FoundationAssociated With: Data Mining, Lead section, para 1
Quote, 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.
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Wikipedia: Data science
Wikimedia FoundationAssociated With: Data Science, Foundations section
Quote, 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.
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Recommender Systems (Wikipedia)
Wikimedia FoundationAssociated With: Recommender Systems, Lead section
Quote, 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)
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