ml-model-deployment

Why Most ML Models Die Before Production — How to Keep Them Alive? You trained a shiny model. 99% accuracy, ROC curve smooth as butter, validation loss hugging zero. But when it hits production, it crashes and burns. This is the sad fate of most machine learning models. But why? And more importantly how do you prevent it? Let’s…