University of Cambridge > > Theory of Living Matter Group > Pub tutorial: Machine Learning for ‘Genomical Data’

Pub tutorial: Machine Learning for ‘Genomical Data’

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If you have a question about this talk, please contact Dr David Jörg.

Machine learning (ML) approaches are used to find patterns in genomics data as as it is no longer trivial to compute, analyze, and visualize population level exabytes of genomics data that is being generated. This talk will have a general introduction to ML approaches, some examples of where it is being used in biology including some aspects of what we do. I also hope to briefly discuss the differences between Deep Learning, and AI and ML approaches.

This talk is part of the Theory of Living Matter Group series.

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