AI & Analytics

Introduction to Machine Learning in R

Anyone who wants to know more about Data Science in general.

Aimed at:

Delivery method:

Formal training with examples that are shortly tried out on own laptop


Required preparation:

None, though programming experience is advised

Bring a laptop with RStudio installed

3-4 hours



Skill level:

Prefered group size:

8 participants per trainer (scalable)

Course description

This course starts by introducing Artificial Intelligence in general, and shortly dives into a high-level overview of R-basics. Many important data analytic topics are introduced: text mining, linear modelling, polynomial regression, clustering, classification trees, SVM, Neural Networks. Also, measuring accuracy and explaining models to your (non-tech savvy) environment is covered. All topics are demonstrated live using R, and contain pointers to further interesting reads.

Learning objective

Upon completion of this training, participants will have a good understanding of what Data Science constitutes, and are kick-started to trying it out for themselves.