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Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. 

Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment.



  • This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.
  • Familiarity with the R language is essential.
  • We recommend attending the Introduction to R for biologists course prior to attending this course.


For additional information, follow this link.