Why do we need a soft-margin if we are using a kernel in SVM?
40236
SVM - hard or soft margins?
4409
How does one interpret SVM feature weights?
14806
How to prove that the radial basis function is a kernel?
92202
Linear separability for a sum of kernel functions
142959
Do we still need to do feature selection while using Regularization algorithms?
11553
Why bother with the dual problem when fitting SVM?
107224
Why you shouldn't upsample before cross validation
14183
Why Lasso or ElasticNet perform better than Ridge when the features are correlated
123715
Why is it important to include a bias correction term for the Adam optimizer for Deep Learning?
142784
For linear classifiers, do larger coefficients imply more important features?
146981
Using Softmax activation function for multi-class classification
133323
Intuitive explanation of Lovasz Softmax loss for Image Segmentation problems
120717
What is a kernel and what sets it apart from other functions
107278
Comparing SVM and logistic regression
36335
When wouldn't I use LASSO for model selection?
156390
Gradient Boosting for Linear Regression - why does it not work?
98154
Why use group lasso instead of lasso?