Mo., 10. Feb.

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Berlin

Hands-on Machine Learning Course with R

We will introduce statistics, unsupervised and supervised machine learning techniques using R programming language on real-world datasets.

Application for this course is Closed
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Hands-on Machine Learning Course with R

Time & Location

10. Feb. 2020, 10:00 – 12. Feb. 2020, 18:00

Berlin, Berlin, Germany

About the Event

General Info:

This is a hands-on course on machine learning geared towards genomics data sets. It would be beneficial for researchers, developers and analysts, who already know R and want to apply machine learning to their own problems and projects. The application deadline for this course is December 15th, 2019 .

About the Instructor(s):

The course will be conducted by Altuna Akalin and his team. The instructors have decades of experience in data analysis for for high-dimensional data sets. They are developers of multiple R/Bioconductor packages.

Course structure:

The course is broken down into 3 days. The first day will be dedicated to core statistical concepts and exercises. The second day is dedicated to unsupervised learning. The third day is dedicated to supervised learning. If time permits, we will also advise on problems brought up by the participants. We will be using data sets from genomics to illustrate the techniques. However, the techniques we will cover are applicable to any high dimensional data set. 

Prerequisites: 

This course is designed for participants who are already familiar with R and have experience in writing their own scripts and functions. If you have no R programming experience, you will not benefit from this course. The participants are expected to bring their own laptops. The data sets and software (mainly R and RStudio), that should be installed beforehand, will be communicated to the participants in advance. 

Cost:

The cost of the course is 700 Euros. The accepted participants will receive additional information about the payment details. 

Contact:

Questions and suggestions should be sent to courses@rolv.io 

We look forward to hearing from you!

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