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Probabilistic Machine Learning: An Introduction

Categories Machine Learning

Probabilistic Machine Learning: An Introduction presents machine learning through probability, statistics, and decision theory, connecting foundational methods with deep learning. It covers supervised and unsupervised learning, probabilistic graphical models, information theory, optimization, and inference, with accompanying code and computational examples.