Book details
Probabilistic Machine Learning: Advanced Topics
Categories Machine Learning
Probabilistic Machine Learning: Advanced Topics develops modern probabilistic modeling and machine-learning methods, building on foundations in probability, statistics, and optimization. It covers graphical and causal models, information theory, approximate inference, state-space models, message passing, and advanced topics including generative models and deep learning.
