Contains knowledge about the data vs Assume that the input data is composed

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contains knowledge about the data is the most popular phrase on the web. 

Assume that the input data is composed

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contains knowledge about the data

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Some examples and use cases from the internet:

Some examples and use cases from the internet:

  • 1 Introduction. A majority of supervised learning algorithms assume that the input data is composed of a set of independent and identically distributed samples.
  • One component contains knowledge about the data in the data base, specifically including relationships between data types and between individual.
  • DQS only contains knowledge about the data (metadata) whereas MDS stores the data itself (master set). For example: DQS may have knowledge about several ...
  • The server uses the DDS to describe the logical structure of a particular data set
  • the DDS contains knowledge about the data set variables and the ...
  • First, you use DQS to create a knowledgebase that contains knowledge about the data (metadata), cleanse the data in an Excel file by using the knowledge ...

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