When to scale/normalize for supervised learning algorithms?
9488
When conducting multiple regression, when should you center your predictor variables & when should you standardize them?
142609
No regularisation term for bias unit in neural network
85497
Parametric vs non-parametric machine learning methods
138537
Training N classifiers for N labels vs one classifier with N labels
125575
Dimensional regularization: removing more than just logarithmic divergencies?
102544
Why should one use EM vs. say, Gradient Descent with MLE?
135800
Validation of Models with Different Scale Data
133566
Deep Neural Network weight initialization
111170
Testing large dataset for normality - how and is it reliable?
111321
When should we discretize/bin continuous independent variables/features and when should not?
125054
How does gradient boosting calculate probability estimates?
32831
Optimal step size in gradient descent
153261
Linear kernel and non-linear kernel for support vector machine?
18820
For imbalanced classification, should the validation dataset be balanced?
79038
When will L1 regularization work better than L2 and vice versa?
48892
whether to rescale indicator / binary / dummy predictors for LASSO
126706
Why do we need to normalize the images before we put them into CNN?