Pattern Recognition and Machine Learning (Information Science and Statistics)
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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The R Book
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Bayesian Computation with R (Use R)
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The Elements of Statistical Learning
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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
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Pattern Classification (2nd Edition)
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Modern Applied Statistics with S
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Lattice: Multivariate Data Visualization with R (Use R)
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Introduction to Machine Learning (Adaptive Computation and Machine Learning)
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Neural Networks for Pattern Recognition
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Multivariate Analysis (Probability and Mathematical Statistics) (Probability and Mathematical Statistics)
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Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)
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Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
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Classification and Regression Trees
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Pattern Recognition, Third Edition
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Elements of Computational Statistics
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Netlab
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Learning from Data: Concepts, Theory, and Methods
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Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
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Practical Neural Network Recipes in C++
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Networks: Optimisation and Evolution (Cambridge Series in Statistical and Probabilistic Mathematics)
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Pattern Recognition with Neural Networks in C++
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Markov Models for Pattern Recognition: From Theory to Applications
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