Preprocessing Data
Preprocessing comes before Artificial Intelligence training
Preprocessing means preparing data before using AI.
All of the following terms mean changing data. They differ in when and why the change happens.
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Preprocessing: Happens before an AI model is trained or used. It prepares raw data for AI.
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Processing: Happens while data is being used or moved through a system.
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Postprocessing: Happens after the AI produces a result. It prepares the result for the next application or user.
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Transformation: Can happen at any time. It changes the structure or format of data.
We need processing as data is often messy, incomplete or in the wrong format. Preprocessing fixes this so the AI can work with the data. Postprocessing allows the following app to work with the result of the AI.
These steps are organized in pipelines.