Tag statistical learning

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• The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie
• An Introduction to Statistical Learning: with Applications in R by Gareth James
• The Nature of Statistical Learning Theory by Vladimir Vapnik
• Pattern Classification (2nd Edition) by Richard O. Duda
• Dive into Deep Learning by Aston Zhang
• An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics) by Gareth James
• High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications by John Wright
• Examining the contribution of statistical learning to grammar and literacy acquisition : A study of Dutch children with and without dyslexia by Merel Tirza Gerlinde van Witteloostuijn
• High-Dimensional Statistics: A Non-Asymptotic Viewpoint by Martin J Wainwright
• High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47) by Roman Vershynin
• Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) by Trevor Hastie
• Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz
• Boosting: Foundations and Algorithms by Robert E. Schapire
• Bayesian Reasoning and Machine Learning by David Barber
• Knowledge Discovery from Data Streams by Joao Gama
• Information Theoretic Learning by Jose C. Principe
• Independent Component Analysis by Aapo Hyvarinen
• Principles and Theory for Data Mining and Machine Learning by Bertrand Clarke
• The acquisition of phonetic categories in young infants: a self-organising artificial neural network approach by Kay Behnke
• The Top Ten Algorithms in Data Mining by Xindong Wu

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