Machine Learning, AI, Deep Learning, Tips.
assumptions and see whether the currently available data also satisfies those assumptions. Ex. 1: Boundaries All linear classifiers assume that decision boundaries are linear Ex. 2: Normally Distributed Many statistical methods assume that the data is normally distributed Ex. 3: Prediction