Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

If you want your skills to show up in real work, you need more than theory. Guided projects help you move from “I watched a course” to “here is what I built and how it works.” Short, project-based ...