Overfitting is a critical challenge in machine learning, undermining the reliability and effectiveness of predictive models. It occurs when a model learns not only the underlying patterns in the training data but also the noise and irrelevant details, reducing its ability to generalize to new data. This discussion explores overfitting, its causes, how it can … Continue reading Overfitting in Machine Learning: Causes, Countermeasures, and the Role of Convexity