course	version
IE6600-workshop	1.0.0

Workshop Topics

The purpose of the workshop is to make students familiar with how to implement machine learning models by using R.

• Introduction to neural network and deep learning
• Principle Components Analysis (PCA) for Visualization
• k nearest neighbours (KNN) (Optional)
• Logistic Regression

Environment

• R language
• R studio

Installation of Keras and Tensorflow in R

The Keras R interface uses the TensorFlow backend engine by default.

install.packages("keras")

or install the development version with:

devtools::install_github("rstudio/keras")

then

library(keras)
install_keras()

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

The coding examples in class are released under the MIT license.