The Generalization Paradox: Why Your ML Model Fails Outside the Notebook

Overfitting remains a critical hurdle for AI engineers, where models prioritize memorization over actual conceptual understanding. Mastering the balance between complexity and generalization is essential for building robust AI systems that perform reliably in real-world scenarios.