Читать книгу CompTIA Cloud+ Study Guide - Ben Piper, David Higby Clinton - Страница 65

Supervised learning applications include predictions and image or voice recognition. It requires creating or “training” an ML/AI model by feeding sample data into it. For example, if you want to create an application that identifies your voice in an audio file, you'd train the model using some quality samples of your voice. Subsequently, the model should be able to identify your voice accurately most of the time.

The accuracy of models depends on the size and quality of the training dataset. In terms of percentage, accuracy can be as high as the upper 90s, but rarely higher.