Testing a trained AI model on data it hasn't seen before to ensure it generalizes well and doesn't just memorize training data. Like giving students a practice test before the final exam.
After training a fraud detection model, validation testing on new transactions ensures it can accurately detect fraud it hasn't encountered before.
Testing a trained AI model on data it hasn't seen before to ensure it generalizes well and doesn't just memorize training data. Like giving students a practice test before the final exam.
After training a fraud detection model, validation testing on new transactions ensures it can accurately detect fraud it hasn't encountered before.
Related concepts include Model Training, Machine Learning, Testing. Understanding these connections helps build a comprehensive knowledge of cloud computing concepts.