Machine Learning (ML) Concept

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A Machine Learning (ML) Concept is an AI concept from a machine learning domain.



References

2017A

2017B

2017C

2016

  • Martin Zinkevich. (2017). “Rules of Machine Learning: Best Practices for ML Engineering."
    • QUOTE: … Most of the problems you will face are, in fact, engineering problems. … So, the basic approach is: … make sure your pipeline is solid end to end
      • Rule #1: Don’t be afraid to launch a product without machine learning.
      • Rule #2: Make metrics design and implementation a priority.
      • Rule #3: Choose machine learning over a complex heuristic.
      • Rule #4: Keep the first model simple and get the infrastructure right.
      • Rule #5: Test the infrastructure independently from the machine learning.
      • Rule #6: Be careful about dropped data when copying pipelines.
      • Rule #7: Turn heuristics into features, or handle them externally.