Why centering the data for machine-learning?
9663
Is it a good practice to always scale/normalize data for machine learning?
7027
What is the purpose of a neural network activation function?
1590
Why not approach classification through regression?
6914
Why are neural networks becoming deeper, but not wider?
32548
On the importance of the i.i.d. assumption in statistical learning
139690
Which variables should I transform, center, and/or standardize in my data for Principal Component Analysis?
129280
Neural networks: why do we randomize the training set?
136739
Machine learning courses: maths explained
13046
Are large data sets inappropriate for hypothesis testing?
99413
Are mean normalization and feature scaling needed for k-means clustering?
102544
Why should one use EM vs. say, Gradient Descent with MLE?
7187
Explaining to laypeople why bootstrapping works
103939
Why doesn't regularization solve Deep Neural Nets hunger for data?
6024
How to deal with hierarchical / nested data in machine learning
14183
Why Lasso or ElasticNet perform better than Ridge when the features are correlated
39186
Why does linear regression use a cost function based on the vertical distance between the hypothesis and the input data point?
31297
Why do we use ReLU in neural networks and how do we use it?