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Statistical Regression and Classification

From Linear Models to Machine Learning

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  • 532pages
  • 19heures

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Focusing on regression and classification, this text offers a contemporary approach tailored for big data analysis using R. It minimizes mathematical statistics, presenting concepts in practical contexts, allowing readers to bypass the math if preferred. This accessibility makes it suitable for a wide audience interested in data science without heavy mathematical prerequisites.

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Statistical Regression and Classification, Norman Matloff

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Année de publication
2017
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