SVM mathematical background
73140
How does a Support Vector Machine (SVM) work?
121045
Confusion on hinge loss and SVM
17815
Understanding the minimization of mean squared error function
11553
Why bother with the dual problem when fitting SVM?
28133
Theoretical: Minimum Number of Support Vectors
62974
Extended Euclidean Algorithm: why does it work?
142623
scaling for SVM destroys my results
72077
''Linear'' transformations between vector spaces over different fields .
45444
Distance between two vectors: Vector Calculus
59598
The vectors are orthonormal
90215
Proof/Derivation of Residual Sum of Squares (Based on Introduction to Statistical Learning)
157923
RMSProp Squared Gradients
109130
What is one class SVM and how does it work?
112991
What algorithms need feature scaling, beside from SVM?
87692
Basis and dimension of vector space
19145
Validation of machine learning algorithms implementation
40236
SVM - hard or soft margins?