[TBD]Math and Stats for machine learning

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