Training Data
Training Data is the initial dataset used to train a machine learning model, allowing it to learn features, weights, and mathematical relationships by processing inputs and computing adjustments.
Frequently Asked Questions
What is the difference between training data and validation data?▼
Training data is directly used by the optimizer to calculate gradients and update model weights. Validation data is held out to evaluate generalization performance and tune hyperparameters.
Why is the quality of training data critical?▼
Under the "garbage in, garbage out" principle, low-quality training data containing errors, duplicates, or biases leads to poor model accuracy regardless of how advanced the architecture is.
Quick Facts
- CategoryModel Training
- Key ApplicationModel training pipelines, dataset preprocessing, and pattern learning setups.
Coverage Trend12 Weeks
Related AI Terms
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