Difference between revisions of "Machine Learning Underlying Technology and Ethical Issues"
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| − | '''Machine Learning''' is a subfield of Computer Science that has its roots in the 1950s but gained recognition in the industry starting during the 1970s. The field of machine learning has grown significantly since the 1970s due to the rapid increase in computational power as well as the decreased costs. At a basic level, machine learning algorithms process and learn from a set of data given to them called | + | '''Machine Learning''' is a subfield of Computer Science that has its roots in the 1950s but gained recognition in the industry starting during the 1970s. The field of machine learning has grown significantly since the 1970s due to the rapid increase in computational power as well as the decreased costs. At a basic level, machine learning algorithms process and learn from a set of data given to them called '''training data''', they can then be used to predict new data that they have not seen before <ref>P. Louridas and C. Ebert, "Machine Learning," in IEEE Software, vol. 33, no. 5, pp. 110-115, Sept.-Oct. 2016, doi: 10.1109/MS.2016.114.</ref>. |
== References == | == References == | ||
<references/> | <references/> | ||
Revision as of 02:59, 27 January 2022
Machine Learning is a subfield of Computer Science that has its roots in the 1950s but gained recognition in the industry starting during the 1970s. The field of machine learning has grown significantly since the 1970s due to the rapid increase in computational power as well as the decreased costs. At a basic level, machine learning algorithms process and learn from a set of data given to them called training data, they can then be used to predict new data that they have not seen before [1].
References
- ↑ P. Louridas and C. Ebert, "Machine Learning," in IEEE Software, vol. 33, no. 5, pp. 110-115, Sept.-Oct. 2016, doi: 10.1109/MS.2016.114.
