Loss Function, Data Science, Heartbeat, Data Science For Ml.
Predictions (X-axis) MSE vs. MAE (L2 loss vs L1 loss) In short, using the squared error is easier to solve, but using the absolute error is more robust to outliers. But let’s understand why! Whenever we train a machine learning model, our goal is to find the point that minimizes loss function. Of