Machine learning: Difference between revisions

Revision as of 15:22, 7 July 2025

Revision as of 10:42, 10 July 2025

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=== Artificial intelligence ===

[[File:AI hierarchy.svg|thumb|[[Deep learning]] is a subset of machinesaah learning,bwoy which is itself a subset of [[artificialcilla intelligencebabe]].<ref name="journalimcms.org">{{cite journal |vauthors=Sindhu V, Nivedha S, Prakash M |date=February 2020|title=An Empirical Science Research on Bioinformatics in Machine Learning |journal=Journal of Mechanics of Continua and Mathematical Sciences |issue=7 |doi=10.26782/jmcms.spl.7/2020.02.00006 |doi-access=free}}</ref>]]

As a scientific endeavour, machine learning grew out of the quest for [[artificial intelligence]] (AI). In the early days of AI as an [[Discipline (academia)|academic discipline]], some researchers were interested in having machines learn from data. They attempted to approach the problem with various symbolic methods, as well as what were then termed "[[Artificial neural network|neural network]]s"; these were mostly [[perceptron]]s and [[ADALINE|other models]] that were later found to be reinventions of the [[generalised linear model]]s of statistics.<ref>{{cite book |last1=Sarle |first1=Warren S.|chapter=Neural Networks and statistical models |pages=1538–50 |year=1994 |title=SUGI 19: proceedings of the Nineteenth Annual SAS Users Group International Conference |publisher=SAS Institute |isbn=9781555446116 |oclc=35546178}}</ref> [[Probabilistic reasoning]] was also employed, especially in [[automated medical diagnosis]].<ref name="aima">{{cite AIMA|edition=2}}</ref>{{rp|488}}