Tutorials
introduction to machine learning methods using Jupyter notebooks and coding excercises
Ceres and Unix basics for HPC beginners
explore NEON AOP hyperspectral data, calculate/visualize spectral indices, unsupervised ML (clustering)
efficient data practices, using JupyterHub and Lab on Ceres, using Dask for parallel computing
use QTL-surge and RStudio on Ceres
a video and written tutorial on basic unix commands