claude

ml-learning-methods

Explain, compare, or choose machine-learning objectives and learning regimes, including masked prediction, self-supervision, generative modeling, reinforcement learning, transfer, and classical methods. Use for ML learning-method questions and training-design tradeoffs; not routine model API usage or infrastructure debugging.

9 on GitHubby Jared SmithMITupdated 6 days agotools
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Plugin ml-learning-methods from marketplace ratacats-skills in ratacat/ratacats-skills. Commands read from the repo's manifest — 6 days ago.

What it installs

Skills (1)

  • ml-learning-methods

    Explain, compare, or choose machine-learning objectives and learning regimes, including masked prediction, self-supervision, generative modeling, reinforcement learning, transfer, and classical methods. Use for ML learning-method questions and training-design tradeoffs; not routine model API usage o

View source on GitHub

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