Why does feature scaling improves accuracy?
9663
Is it a good practice to always scale/normalize data for machine learning?
126548
Noisy Gradient Effect
126706
Why do we need to normalize the images before we put them into CNN?
126800
Why do we use multiple epochs and why does it not lead to over fitting
14183
Why Lasso or ElasticNet perform better than Ridge when the features are correlated
73225
local minima vs saddle points in deep learning
131784
FindFaces: how to improve the results of the face recognition feature
79976
Feature Scaling and Mean Normalization
44572
List of feature engineering techniques
11553
Why bother with the dual problem when fitting SVM?
58976
Real world experience in scaling and tuning performance
59635
Stochastic gradient descent Vs Mini-batch size 1
41356
Reason for square images in deep learning
126666
Raw data outperforms Z-score transformed data in SVM classification
40582
Annotation Scaling
108828
Kernel Ridge Regression Efficiency
111321
When should we discretize/bin continuous independent variables/features and when should not?