Is it a good practice to always scale/normalize data for machine learning?
9488
When conducting multiple regression, when should you center your predictor variables & when should you standardize them?
125349
Does the cross-entropy cost make sense in the context of regression?
114914
Bad performance with ReLU activation function on MNIST data set
135800
Validation of Models with Different Scale Data
137100
Validation: Data splitting into training vs. test datasets
112991
What algorithms need feature scaling, beside from SVM?
22203
Data normalization and standardization in neural networks
136886
Large sample asymptotic/theory - Why to care about?
3344
What is Normalisation (or Normalization)?
111170
Testing large dataset for normality - how and is it reliable?
7429
Why do neural network researchers care about epochs?
39155
How and why do normalization and feature scaling work?
8922
Opinions about Oversampling in general, and the SMOTE algorithm in particular
648
How should Feature Selection and Hyperparameter optimization be ordered in the machine learning pipeline?
120166
How to correctly use validation and test sets for Neural Network training?
85497
Parametric vs non-parametric machine learning methods
79976
Feature Scaling and Mean Normalization