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Hands-On Machine Learning with R - Bradley Boehmke ~ Instead, this book is meant to help R users learn to use the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, lime, and others to effectively model and gain insight from your data. The book favors a hands-on approach, growing an intuitive understanding of machine learning through .
Chapman & Hall/CRC The R Series - Routledge & CRC Press ~ Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into todayâs most popular machine learning methods. This book serves as a practitionerâs guide to the machine learning process and is meant to help the reader learn to apply.
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References / Hands-On Machine Learning with R ~ Chapman; Hall/CRC. Fisher, Aaron, Cynthia Rudin, and Francesca Dominici. 2018. âModel Class Reliance: Variable Importance Measures for Any Machine Learning Model Class, from the" Rashomon" Perspective.â arXiv Preprint arXiv:1801.01489 .
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