Rules of Machine Learning: Best Practices for ML Engineering

Rules of Machine Learning: Best Practices for ML Engineering
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Abstract:

This document is intended to help those with a basic knowledge of machine learning get the benefit of Google’s best practices in machine learning. It presents a style for machine learning, similar to the Google C++ Style Guide and other popular guides to practical programming. If you have taken a class in machine learning, or built or worked on a machine­-learned model, then you have the necessary background to read this document.

Five parts to the document:

  1. Understand whether the time is right for building a machine learning system.
  2. Deploying first pipeline
  3. Launching and iterating while adding new features to your pipeline, how to evaluate models and training-serving skew.
  4. What to do when you reach a plateau.
  5. List of related work and an appendix.

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