Machine Learning, Artificial Intelligence, Deep Learning, Neural Networks.
difficulties. In conclusion, over-fitting is a problem you see when your machine learning model is too large (has too many parameters) comparing to your available training data. In this case, the model tends to remember all training cases including noisy to achieve better training score. To avoid