The Exponential and Gaussian Distributions
42:43
Independence and Conditional Independence
31:59
No Model? No Problem! The Permutation Test
12:23
The Poisson distribution vs the normal distribution
35:41
CLUSTERING VIA GAUSSIAN MIXTURE MODELS
37:09
OVERVIEW OF DISCRETE AND CONTINUOUS RANDOM VARIABLES
42:14
The Covariance Matrix
6:05
Histogram Estimator - Non-parametric Density Estimation in Machine Learning
24:03