Washington Marriott Wardman Park , Worldwide

July 27 – 31, 2020 (Monday – Friday)

Wednesday, July 29

3:30 PM – 4:30 PM

More and more data are available in plant science that have fueled ground breaking discoveries. Beyond the original intents of the experiments, these data can be used to discover even more. This is where machine learning come in - using computers to learn from data and generate models that can predict a biological phenomenon of interest - e.g. will this gene be lethal when it is knocked-out, or which genetic variants can meaningfully predict a phenotype of interests. Specifically, this workshop will touch on the following topics: What is machine learning and why is it useful? How does machine learning work? What are some example machine learning applications in plant science? How can we feed data into machine learning tools to make discoveries? What are the best practices when doing machine learning? Where to go to learn more? The workshop will include presentations, discussions, and a short hand-on section using online machine learning resources. Workshop materials: https://github.com/ShiuLab/ML_workshop