007-lec-002. training dataset, test dataset, validation dataset, online learing @ How can you evaluate your predicting model? We train predicting model with training dataset And if we let model to predict with training dataset, model must show 100% correct accuracy This is not good way to evaluate model @ So, generally, we devide entire dataset into training dataset and test dataset More specifically, training dataset can be devided into trainging dataset and validation dataset for tuning learning rate $$$\alpha$$$ and regularization strength $$$\lambda$$$ @ There is 'online learing' method Suppose we have too big dataset We devided it into small size dataset And we pass each small size dataset into model Point is result of training should remain in model