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Posts tagged with "Experiments"

Preventing Stale Models in Production
We're going to look at how you can prevent stale models from remaining in production when the data starts to differ from the training data.
  • Milecia McGregor
  • Mar 31, 20228 min read
Running Collaborative Experiments
Sharing experiments with teammates can help you build models more efficiently.
  • Milecia McGregor
  • Dec 13, 20214 min read
Don't Just Track Your ML Experiments, Version Them
ML experiment versioning brings together the benefits of traditional code versioning and modern day experiment tracking, super charging your ability to reproduce and iterate on your work.
  • Dave Berenbaum
  • Dec 07, 20215 min read
Adding Data to Build a More Generic Model
You can easily make changes to your dataset using DVC to handle data versioning. This will let you extend your models to handle more generic data.
  • Milecia McGregor
  • Oct 05, 20218 min read
Using Experiments for Transfer Learning
You can work with pretrained models and fine-tune them with DVC experiments.
  • Milecia McGregor
  • Aug 24, 202114 min read
Tuning Hyperparameters with Reproducible Experiments
Using DVC, you'll be able to track the changes that give you an ideal model.
  • Milecia McGregor
  • Jul 19, 20219 min read
Git Custom References for ML Experiments
In DVC 2.0, we’ve introduced a new feature set aimed at simplifying the versioning of lightweight ML experiments. In this post, we’ll dive into how exactly these new experiments work.
  • Peter Rowlands
  • Apr 19, 20218 min read
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