Christopher Bishop
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Christopher Bishop
Hugh Bishop
Deep Learning
This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field.
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Christopher Bishop
Pattern Recognition and Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible, and it uses graphical models to describe probability distributions.
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Christopher Bishop
Neural Networks for Pattern Recognition
This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition.
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