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Found 160 Documents (Results 1–100)

An introduction to statistical learning. With applications in Python. (English) Zbl 07724265

Springer Texts in Statistics. Cham: Springer (ISBN 978-3-031-38746-3/hbk; 978-3-031-39189-7/pbk; 978-3-031-38747-0/ebook). xv, 60 p. (2023).
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Thinking data science. A data science practitioner’s guidebook. (English) Zbl 1530.68004

The Springer Series in Applied Machine Learning. Cham: Springer (ISBN 978-3-031-02362-0/hbk; 978-3-031-02365-1/pbk; 978-3-031-02363-7/ebook). xx, 358 p. (2023).
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An introduction to statistical learning. With applications in R. 2nd edition. (English) Zbl 1469.62002

Springer Texts in Statistics. New York, NY: Springer (ISBN 978-1-0716-1417-4/hbk; 978-1-0716-1420-4/pbk; 978-1-0716-1418-1/ebook). xv, 607 p. (2021).
MSC:  62-01 62C99 68T05
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A comparative study on machine learning techniques for intense convective rainfall events forecasting. (English) Zbl 07617305

Valenzuela, Olga (ed.) et al., Theory and applications of time series analysis. Selected contributions from the sixth international conference, ITISE 2019, Granada, Spain, September 2019. Cham: Springer. Contrib. Stat., 305-317 (2020).
MSC:  62M10
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Machine learning using R. With time series and industry-based use cases in R. 2nd edition. (English) Zbl 1423.68007

New York, NY: Apress (ISBN 978-1-4842-4214-8/pbk; 978-1-4842-4215-5/ebook). xxiv, 700 p. (2019).
MSC:  68-01 68-02 68T05
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An introduction to statistical learning. With applications in R. (English) Zbl 1281.62147

Springer Texts in Statistics 103. New York, NY: Springer (ISBN 978-1-4614-7137-0/hbk; 978-1-4614-7138-7/ebook). xiv, 426 p. (2013).
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