What is Machine Learning (ML)?

Performance degradation over time as real-world conditions diverge from training assumptions.

A shift in real-world input data over time that can degrade model performance.

Learning patterns from unlabeled data without explicit target outputs.

Training approaches that let a model keep learning from new data without forgetting prior knowledge.

Techniques that create modified training examples to improve model generalization.

Combining predictions from multiple models to improve robustness or accuracy.