Course Description

John Wiley & Sons, Inc. USA

Established in 1807, Wiley is a global provider of content-enabled solutions to improve outcomes in research, education and professional practice with online tools, books, and eLearning trainings. Wiley’s strength lies in every major scientific, academic, and professional field.

Course curriculum

  • 1

    13.1 Introduction to Machine Learning

    • 13.1.1 Accuracy Measures using R

    • 13.1.2 Understanding Machine Learning Technology Part-1

    • 13.1.3 Understanding Machine Learning Technology Part-2

    • 13.1.4 Understanding Machine Learning Technology Part-3

    • 13.1.5 Understanding Machine Learning Technology Part-4
  • 2

    13.2 Graphical Models and Bayesian Networks

    • 13.2.1 Graphical Models and Bayesian Networks on R Part-1

    • 13.2.2 Graphical Models and Bayesian Networks on R Part-2

    • 13.2.3 Graphical Models and Bayesian Networks on R Part-3

    • 13.2.4 Graphical Models and Bayesian Networks on R Part-4

    • 13.2.5 Graphical Models and Bayesian Networks on R Part-5
  • 3

    13.3 Artificial Neural Networks

    • 13.3.1 Artificial Neural Networks Part-1

    • 13.3.2 Artificial Neural Networks Part-2

    • 13.3.3 Artificial Neural Networks Part-3

    • 13.3.4 Artificial Neural Networks Part-4
  • 4

    13.4 Dimensionality Reduction using PCA and Factor Analysis on R

    • 13.4.1 Performing Dimensionality Reduction

    • 13.4.2 Dimensionality Reduction Using PCA Part-2

    • 13.4.3 Dimensionality Reduction Using PCA Part-3
  • 5

    13.5 Support Vector Machines

    • 13.5.1 Support Vector Machines Part-1

    • 13.5.2 Support Vector Machines Part-2

    • 13.5.3 Churn with Support Vector Machines