Stochastic process
Probability density function
Maximum likelihood estimation - https://coursera.org/share/ed1b54438fbe7cb450cbcaa484f829a3
Conditional probability(posterier probability)
Norm - SVM https://coursera.org/share/b28868ea14122284b5541ea68a2087c1
Distance Metric
Vector dot product -> equal to length of projection https://coursera.org/share/b28868ea14122284b5541ea68a2087c1
Matrix operations
eigenvalue
Convex function
Multiset
Fuzzy set
Non-linear equation
Partial derivative
Numerical analysis for conjugate gradient. refer index.mp4