DATA
transformation
An initiative by
permanent beta


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
Prerequisites:
Required preparation:
None, though programming experience is advised
Bring a laptop with RStudio installed
3-4 hours
Foundation
Duration:
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.