Description

Book Synopsis
Introduction.- Statistical Learning.- Linear Regression.- Classification.- Resampling Methods.- Linear Model Selection and Regularization.- Moving Beyond Linearity.- Tree-Based Methods.- Support Vector Machines.- Deep Learning.- Survival Analysis and Censored data.- Unsupervised Learning.- Multiple Testing.- Index.

An Introduction to Statistical Learning: With

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    A Paperback / softback by Gareth James, Daniela Witten, Trevor Hastie

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      Publisher: Springer
      Publication Date: 08/09/2023
      ISBN13: 9783031391897, 978-3031391897
      ISBN10: 3031391896
      Also in:
      Mathematical and statistical software Probability and statistics

      Description

      Book Synopsis
      Introduction.- Statistical Learning.- Linear Regression.- Classification.- Resampling Methods.- Linear Model Selection and Regularization.- Moving Beyond Linearity.- Tree-Based Methods.- Support Vector Machines.- Deep Learning.- Survival Analysis and Censored data.- Unsupervised Learning.- Multiple Testing.- Index.

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