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[D] Effective Management of your Machine Learning Laboratory

The author shortly demonstrate how you can easily make use of DVC tool to effectively manage your ML workflow: Effective Management of your Machine Learning Laboratory

An example project (from the article) in the author’s personal GitHub

The following common ML workflow issues are dealt with in the article:

  • how to connect versions of source codes and versions of large data files?
  • how to recover model from weeks earlier without retraining it?
  • how to run only model inferencing using a model that I built weeks ago?
  • how to keep a track of model parameters of various ML experiments?

submitted by /u/thumbsdrivesmecrazy
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.