Pattern Recognition and Machine Learning (Information Science and Statistics)
A foundational text presenting pattern recognition and machine learning from a probabilistic perspective, covering Bayesian methods, neural networks, and graphical models for advanced students and researchers.
About This Book
This book presents the field of pattern recognition and machine learning from a probabilistic perspective.
It covers fundamental techniques and algorithms used in statistical pattern recognition and machine learning.
The text is designed for advanced undergraduates, graduate students, and researchers in related fields.
Topics include Bayesian methods, neural networks, kernel methods, and graphical models.
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