Probabilistic Machine Learning: An Introduction
Kevin Murphy provides a modern foundation for machine learning by treating uncertainty as a core element of the field. This comprehensive text uses probability and Bayesian decision theory to bridge the gap between classical statistics and contemporary deep learning. It serves as a complete overhaul of the authors previous acclaimed work, reflecting the massive shifts in artificial intelligence o…
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