Machine Learning, Data Science, Loss Function, Regression, Classification.
associated costs. Deciding to go up the slope will cost us energy and time. Deciding to go down will benefit us. Therefore, it has a negative cost. In supervised machine learning algorithms, we want to minimize the error for each training example during the learning process. This is done using some