Applied Statistical Learning With Case Studies in Stata /

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical learning concepts and practical aspects, each further chapter is devoted to a statistical learning...

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Auteur principal: Schonlau, Matthias (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:anglais
Publié: Cham : Springer International Publishing : Imprint: Springer, 2023.
Édition:1st ed. 2023.
Collection:Statistics and Computing,
Sujets:
Accès en ligne:https://doi.org/10.1007/978-3-031-33390-3
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Table des matières:
  • Preface
  • 1 Prologue
  • 2 Statistical Learning: Concepts
  • 3 Statistical Learning: Practical Aspects
  • 4 Logistic Regression
  • 5 Lasso and Friends
  • 6 Working with Text Data
  • 7 Nearest Neighbors
  • 8 The Naive Bayes Classifier
  • 9 Trees
  • 10 Random Forests
  • 11 Boosting
  • 12 Support Vector Machines
  • 13 Feature Engineering
  • 14 Neural Networks
  • 15 Stacking
  • Index.