Robert and Anna discuss the current status of their AI project. They review previous tasks and plan next steps. The conversation helps keep the project on track.
Vocabulary:
Preprocessing: Preparing data before using it in a model.
Hyperparameters: Settings that control how a model learns.
Validation: Testing a model to check its accuracy.
Overfitting: When a model works well on training data but poorly on new data.
Deployment: Making a model ready for real-world use.
Practice more with this lesson:
