Data, Data Science, Machine Learning, Mathematics, Gradient Descent.
normalised by dividing it by the n samples in the dataset. The Mean Squared Error, or MSE, is the cost function typically applied in linear regression. 2. Updating Weights There are two key gradients that need to be kept in mind while changing the weights The amount of change. The direction of