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Pattern Recognition and Machine Learning for Self-Study I: Supervised Learning
Springer

Pattern Recognition and Machine Learning for Self-Study I: Supervised Learning

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This book explains the basic principles of pattern recognition (PR) and machine learning (ML) in an easy-to-understand manner for beginners who are trying to learn these principles on their own. Readers with a basic knowledge of linear algebra and

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