Scale By the Bay 2021 intro video by Milecia McGregor
summary
Demonstrates tuning hyperparameters for any ML project using dvc experiments from iterative.ai, with a concrete workflow that automates grid search and random search and shows how to extend to more complex search strategies. Gives command-line examples, ties searches to pipeline stages and data versioning, and records results with reproducible experiment tracking, so attendees can see how the experiments are launched, compared, and rerun reliably.
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