Data is information in a form that can be communicated, processed, stored, or analyzed by people or computer systems. In AI and machine learning, data is the material from which systems learn patterns, make predictions, and generate outputs, so its accuracy, reliability, representativeness, and bias characteristics directly affect system quality.
Data is central to any machine learning application. In ML.NET data is represented by IDataView objects. Data view objects:
Data can be defined as any information in a form capable of being communicated, analysed, or processed (whether by an individual or by computer or other automated means). Data is useful when it can be communicated easily and analysed to gain insights. Data's value stems from its use, re-use, and re-purposing, particularly in large volumes. To properly realise this value, data must be accurate, reliable, and free from bias.
is commonly used as another word for information. Oftentimes data is gathered in a specific format suitable for use on a computer (e.g., a spreadsheet). Data is a crucial ingredient in many artificial intelligence systems.