Usefulness of Z-normalization in Machine Learning
9663
Is it a good practice to always scale/normalize data for machine learning?
66215
Training a decision tree against unbalanced data
118351
Confidence regions on bivariate normal distributions using $\hat{\Sigma}_{MLE}$ or $\mathbf{S}$
26149
Logistic regression vs. LDA as two-class classifiers
118434
Lift measure in data mining
94048
ROC vs Precision-recall curves on imbalanced dataset
69637
Random Forests and data transformations
6454
Perform feature normalization before or within model validation?
81918
Multicollinearity in Decision Tree
104621
On the hardness of data to learn
38739
Restrictions on universal generalization
108828
Kernel Ridge Regression Efficiency
37027
the relationship between maximizing the likelihood and minimizing the cross-entropy
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
95555
Should I normalize word2vec's word vectors before using them?
40108
standardising non normally distributed predictors for regression
99413
Are mean normalization and feature scaling needed for k-means clustering?