ML at Netflix and How to Learn Deeply - ML 120
Adventures in Machine Learning
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The Importance of Reusable Code and Testing in ML Projects
This chapter emphasizes the need to create reusable code and modules in ML projects and discusses the importance of writing tests to ensure the reliability and maintainability of ML models. It also touches on the challenges of testing ML models and the use of integration tests and unit tests for machine learning implementations.
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