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Machine learning Pattern Recognition: Explanation and Examples。Pattern recognition systems with artificial intelligence。Pattern Recognition Using Deep Learning 2025 | levitan.com。専用商品！！千葉県産コシヒカリ。The Seven Sins of Machine Learning - Pattern Recognition Lab。This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.