Lectures related to Dimensionality Reduction: PCA and LDA

Explores bivariate maxima, parametric models, distributions, and dependence functions in statistics.

Covers radar and communication technologies, focusing on their applications in sensing and the challenges faced in modern wireless communications.

Explores Ridge and SVR regression, emphasizing kernel tricks for non-linear regression.

Covers random vectors, joint probability, and conditional probability in communication stochastic models.