Description

This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned into a main body section and an extras section. The main body uses math stat very sparingly and always in the context of something concrete, which means that readers can skip the math stat content entirely if they wish. The extras section is for those who feel comfortable with analysis using math stat.

Statistical Regression and Classification: From Linear Models to Machine Learning

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Paperback / softback by Norman Matloff

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This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter... Read more

    Publisher: Taylor & Francis Inc
    Publication Date: 01/08/2017
    ISBN13: 9781498710916, 978-1498710916
    ISBN10: 1498710913

    Number of Pages: 532

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned into a main body section and an extras section. The main body uses math stat very sparingly and always in the context of something concrete, which means that readers can skip the math stat content entirely if they wish. The extras section is for those who feel comfortable with analysis using math stat.

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