Linda and David discuss a complex AI project. Linda explains the problem step by step. David listens and asks questions.
Vocabulary:
Imputation: The process of filling missing data.
Overfitting: When a model learns noise instead of patterns.
Regularization: A method to prevent overfitting in models.
Cross-validation: A technique to test model performance.
Inconsistent: Not staying the same or reliable.
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