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Understanding Data Acquisition Basics by FroFee F is a document available to read on EtoBox.
What is Understanding Data Acquisition Basics about?
Data acquisition involves collecting raw data from relevant sources. There are two main types of data: numeric data (discrete or continuous) and text data. Data can also be structured, unstructured, or semi-structured depending on whether it has a defined structure or pattern. Some other types of data include time-stamped, machine, spatiotemporal, open, real-time, and big data. Training data refers to input data used to train a system while testing data is the processed output data used to test or evaluate
- Author
- FroFee F
- Language
- EN