Mathematics and Programming for Machine Learning with R From the Ground Up.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Claster, William B.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Milton : Taylor & Francis Group, 2020.
Temas:
Machine learning.
R (Computer program language)
Programming (Mathematics)
Apprentissage automatique.
R (Langage de programmation)
Programmation (Mathématiques)
Machine learning
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Dedication
  • Table of Contents
  • List of Figures
  • List of Tables
  • Preface
  • Acknowledgments
  • Author
  • 1 Functions Tutorial
  • 2 Logic and R
  • 3 Sets with R: Building the Tools
  • 4 Probability
  • 5 Naïve Rule
  • 6 Complete Bayes
  • 7 Naïve Bayes Classifier
  • 8 Stored Model for Naïve Bayes Classifier
  • 9 Review of Mathematics for Neural Networks
  • 10 Calculus
  • 11 Neural Networks
  • Feedforward Process and Backpropagation Process
  • 12 Programming a Neural Network Using OOP in R
  • 13 Adding in a Bias Term
  • 14 Modular Version of Neural Networks for Deep Learning
  • 15 Deep Learning with Convolutional Neural Networks
  • 16 R Packages for Neural Networks, Deep Learning, and Naïve Bayes
  • Index

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