Mustafa Gaja
With a long academic journey spanning Physics, Mathematics and Electrical Engineering, Mustafa developed a deep interest in teaching, explaining complicated topics and breaking advanced principles down to digestible chunks. He is currently enjoying applying these tools to his passion for Artificial Intelligence.

Mustafa's work

Training

Practical anomaly detection

An two-day introduction to unsupervised ML techniques for anomaly detection and their strengths and weaknesses in different application areas.

Training

An introduction to Bayesian methods in ML

A two-day workshop introducing Bayesian modelling, using practical examples and probabilistic programming.

Seminar

Bayesian ML and Probabilistic Programming 2: MCMC, Bayesian Regression and Causality

In this talk, we lay the ground for Markov Chain Monte Carlo (MCMC) methods to inferring the posterior distribution, after looking into the …

Mustafa Gaja
Probabilistic Models