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Introduction Why R? Who should read this book What you will get out of this book What you will not learn Meta-techniques
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The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emp
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"I learned a lot working through their solutions -- it's a great way to broaden and deepen your understanding
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Master machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other lang
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Adventurers have an opportunity to chase the slavers across the coast, uncover their secret contacts, and destroy their
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When carefully selected and used, Domain-Specific Languages (DSLs) may simplify complex code, promote effective communic
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Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and
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