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An Introduction to Statistical Learning
An Introduction to Statistical Learning
125,18
139,09 €
  • We will send in 10–14 business days.
Preface.- 1 Introduction.- 2 Statistical Learning.- 3 Linear Regression.- 4 Classification.- 5 Resampling Methods.- 6 Linear Model Selection and Regularization.- 7 Moving Beyond Linearity.- 8 Tree-Based Methods.- 9 Support Vector Machines.- 10 Deep Learning.- 11 Survival Analysis and Censored Data.- 12 Unsupervised Learning.- 13 Multiple Testing.- Index.
139.09
  • Publisher:
  • ISBN-10: 1071614207
  • ISBN-13: 9781071614204
  • Format: 15.6 x 23.4 x 3.2 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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Preface.- 1 Introduction.- 2 Statistical Learning.- 3 Linear Regression.- 4 Classification.- 5 Resampling Methods.- 6 Linear Model Selection and Regularization.- 7 Moving Beyond Linearity.- 8 Tree-Based Methods.- 9 Support Vector Machines.- 10 Deep Learning.- 11 Survival Analysis and Censored Data.- 12 Unsupervised Learning.- 13 Multiple Testing.- Index.

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  • Author: Gareth James
  • Publisher:
  • ISBN-10: 1071614207
  • ISBN-13: 9781071614204
  • Format: 15.6 x 23.4 x 3.2 cm, minkšti viršeliai
  • Language: English English

Preface.- 1 Introduction.- 2 Statistical Learning.- 3 Linear Regression.- 4 Classification.- 5 Resampling Methods.- 6 Linear Model Selection and Regularization.- 7 Moving Beyond Linearity.- 8 Tree-Based Methods.- 9 Support Vector Machines.- 10 Deep Learning.- 11 Survival Analysis and Censored Data.- 12 Unsupervised Learning.- 13 Multiple Testing.- Index.

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