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MLOps #28 Continuous Evaluation & Model Experimentation // Danny Ma - Founder & CEO at Sydney Data Science
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Most MLOps discussion traditionally focuses on model deployment, containerization, and model serving - but where do the inputs come from, and where do the outputs get used? In this session, we demystify parts of the data science process used to create the all-important target variable and design machine learning experiments.
We discuss some probability and statistical concepts that are useful…
The skinny
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