Validation in Machine Learning

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Machine Learning introduces unique challenges for software testing.  We will discuss several practices and tools specific to ML, including the ML Test Score best practices rubric, the TensorFlow Debugger, and a unit test framework for ML models.  Where available we reference open source solutions or published techniques.

 

Eric Breck – Google