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Training Data Requirement for a Neural Network to Predict Aerodynamic Coefficients T. Rajkumar and Jorge Bardina SAIC@ NASA Ames Research Center, Moffett Field, California, USA 94035 NASA Ames Research
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Training data requirement is for collecting and organizing data used for training machine learning models.
Companies or individuals utilizing machine learning models are required to file training data requirement.
Training data requirement can be filled out by providing detailed information about the data sources, labeling, and preprocessing methods used for training the model.
The purpose of training data requirement is to ensure transparency, accountability, and fairness in machine learning algorithms.
Information such as data sources, data labels, data preprocessing techniques, and model training methods must be reported on training data requirement.
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