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= About the Glossary = | |||
Placeholder text about how attribution scholarship often uses highly technical language. | |||
= Entries = | |||
== A == | == A == | ||
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=== algorithm === | === algorithm === | ||
A set of logical instructions or mathematical rules used to perform calculations and problem-solving operations, typically by a computer. | A set of logical instructions or mathematical rules used to perform calculations and problem-solving operations, typically by a computer. | ||
== M == | == M == | ||
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=== machine learning === | === machine learning === | ||
A class of [[#algorithm|algorithm]] that analyse patterns and relationships in data to make determinations and predictions, using the outcomes of these operations to ''learn'' by iterations and improve future accuracy. Machine learning procedures may be [[#supervised|supervised]], requiring human intervention to provide pre-defined examples with which to ''train'' the algorithm, or [[#unsupervised|unsupervised]], where no human pre-processing of the data is required. | A class of [[#algorithm|algorithm]] that analyse patterns and relationships in data to make determinations and predictions, using the outcomes of these operations to ''learn'' by iterations and improve future accuracy. Machine learning procedures may be [[#supervised|supervised]], requiring human intervention to provide pre-defined examples with which to ''train'' the algorithm, or [[#unsupervised|unsupervised]], where no human pre-processing of the data is required. | ||
== S == | == S == |