Difference between revisions of "Data Universality"
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Data Universality is a property in using [[data]] to represent information of any type. The extensibility and versatility of using simple, regular, distinguishable data element to encode the information content is unbounded given that time and space boundaries are unbounded. This property gives the universality in data science. | Data Universality is a property in using [[data]] to represent information of any type. The extensibility and versatility of using simple, regular, distinguishable data element to encode the information content is unbounded given that time and space boundaries are unbounded. This property gives the [[Technical Term::Universality|universality]] in data science. | ||
Revision as of 13:23, 27 April 2021
Data Universality is a property in using data to represent information of any type. The extensibility and versatility of using simple, regular, distinguishable data element to encode the information content is unbounded given that time and space boundaries are unbounded. This property gives the universality in data science.