thundergolfer/google-rules-of-machine-learning
Github mirror of M. Zinkevich's "Rules of Machine Learning" style guide, with extra goodness.
This guide helps practitioners and product managers effectively integrate machine learning into their products and workflows. It provides practical advice, moving from initial product design considerations to building robust ML pipelines. The output is a clear understanding of best practices for developing reliable and impactful machine learning systems.
180 stars. No commits in the last 6 months.
Use this if you are developing a new product or feature and need guidance on whether and how to incorporate machine learning effectively.
Not ideal if you are a machine learning researcher looking for advanced model architectures or a developer seeking specific code implementations.
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MIT
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Last pushed
Feb 27, 2018
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