Probabilistic Machine Learning

The "Probabilistic Machine Learning" course offers an in-depth exploration of probabilistic methods in machine learning, focusing on Bayesian inference, graphical models, and probabilistic reasoning. Participants will learn to apply these techniques to real-world problems, enhancing their ability to handle uncertainty and make data-driven decisions. Through a blend of theoretical understanding and practical applications, this course equips learners with the skills needed to develop and implement robust probabilistic models, preparing them for advanced roles in data science and machine learning.