Also known as: Training datasets Β· training set
Training data is the dataset used to teach or fit a machine learning model by adjusting its learnable parameters. Its quality, quantity, diversity, labeling, and provenance strongly influence the performance, reliability, and compliance posture of the resulting model.
βdata used to train a machine learning modelβ ISO/IEC 22989.
Amazon Machine Learning: The observations that you provide to Amazon Machine Learning to train and evaluate a machine learning model and generate predictions.
A side-by-side comparison of Training Data and Test Set. Understand why the data used to fit a model must be separated from the reserved data used to evaluate it.
A side-by-side comparison of Training Data and Validation Data. Understand how data used to fit the model differs from data used during development to tune choices and detect generalization problems.
A side-by-side comparison of Production Data and Training Data. Understand how the concepts differ, when each term applies, and why the distinction matters for AI governance, evaluation, or system design.