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All-The-Content #1

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@bytesnake

The rust-ml group is still in its infancy, but these are already available:

  • linear decision trees
  • non-linear manifolds
  • linear regression
  • a Torch model, for example CIFA-10 dataset with CNN

We should also have an introduction to, not only the algorithms, but also the tools we are using:

  • How to use the ndarray crate and understand type signatures of ArrayBase
  • Give examples for ndarray-stats
  • Integration of gnuplot into the workflow

This list is far from complete and will grow with time. If you know any algorithm, you want to add, please feel free to contribute.

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