Squared Error vs Absolute Error loss functions
8860
Why square the difference instead of taking the absolute value in standard deviation?
4627
Optimizing a "black box" function: Linear Regression or Bayesian Optimization... what's the difference?
44278
$R^2$ for least absolute deviation regression
7442
completing the square for Gaussian multivariate estimation
127263
Showing the Equivalence Between the $ {L}_{2} $ Norm Regularized Regression and $ {L}_{2} $ Norm Constrained Regression Using KKT
142784
For linear classifiers, do larger coefficients imply more important features?
117379
Raw or orthogonal polynomial regression?
108282
How to choose between learning algorithms
134526
Interpretation of mean absolute scaled error (MASE)
148749
Objective function, cost function, loss function: are they the same thing?
118772
Is R-squared value appropriate for comparing models?
63049
Train loss and accuracy
153261
Linear kernel and non-linear kernel for support vector machine?
51726
Definition of residuals versus prediction errors?
145386
Logarithmic loss vs Brier score vs AUC score
147938
MAPE vs R-squared in regression models
80182
Deriving the KL divergence loss for VAEs