Machine Learning And Pattern Recognition
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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Deep Learning (Adaptive Computation and Machine Learning series)
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Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition
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Pattern Recognition and Machine Learning (text only) 2nd(Second) edition BY C.M. Bishop
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Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
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Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
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A First Course in Machine Learning (Machine Learning & Pattern Recognition)
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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)
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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Sequential Methods in Pattern Recognition and Machine Learning
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Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
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Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
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Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
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Bayesian Programming (Chapman & Hall/ Crc: Machine Learning & Pattern Recognition)
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This is the first textbook on pattern recognition to present the bayesian viewpoint