Lectures related to Internet Relay Chat

Covers the Markov Chain Monte Carlo method and the Metropolis-Hastings algorithm for generating samples from a target probability distribution.

Explores optimization and approximation in deep neural networks, including optimal control and numerical experiments.

Covers the analysis of bipolar amplifiers, focusing on the frequency response.

Explores the monitoring of a new VM and the use of Icinga2 for critical alerts and incident management.

Covers the Runge-Kutta method and its variations, discussing error minimization and stability in non-linear systems.