Data Science Workshop - Machine learning in R -

The “Machine learning in R” workshop on the 23. May 2018 is aimed at participants already familiar with the basics of R. The first part (~ 1 hour) will introduce participants to the basic concepts of supervised (classification / regression) and unsupervised (clustering) learning. Afterwards you will learn how to efficiently and easily apply the most common techniques in R using the comprehensive mlr package. Our instructor, Jakob Richter is an experienced data scientists and as a co-developer of mlr knows the ins and outs of the package. He will demonstrate some of its key features on a practical example enabling you to apply mlr on your problems to find a good pefrorming prediction model, analyze and tweaking the performance using mlrs tuning methods.

Curriculum:

Theoretical introduction: 1 Hour Introduction to the basic concepts of machine learning:

Classification.
Regression.

Machine Learning in R using mlr.

Introduction to the basic principles of mlr.
Benchmarking various Learners.
Advanced Methods: What are Wrappers, why do you need them and how to use them to build ensambles and basic preprocessing pipelines.

The workshop is part of the two conferences:

International Biotech Innovation Days, wich will take place from the 23 - 25 May 2018 in Senftenberg, Germany at the Brandenburg University of Technology (BTU) Cottbus – Senftenberg (Campus Senftenberg) and
the WhyR annual meeting of Polish R community.