Data Version Control in Real Life

We write about machine learning workflow. From data versioning and processing to model productionization. We share our news, findings, interesting reads, community takeaways.
January '22 Heartbeat
Monthly updates are here! You will find great tutorials and workflows from the Community, Online course is now open, decision making strategies for MLOps tools, and more! Welcome to 2022!🎇
  • Jeny De Figueiredo
  • Jan 18, 202213 min read
December '21 Community Gems
A roundup of technical Q&A's from the DVC community. This month: comparing experiments, working with data, working with pipelines, and more.
  • Milecia McGregor
  • Dec 21, 20216 min read
December '21 Heartbeat
Monthly updates are here! You will find great tutorials and workflows from the Community, DVC, CML and Rasa project, Speech diarization use case, new docs, news from the team, update on the coming online course, and more! 😅
  • Jeny De Figueiredo
  • Dec 15, 20219 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
November '21 Community Gems
A roundup of technical Q&A's from the DVC and CML community. This month: CML runners, working with data, DVC Studio, and more.
  • Milecia McGregor
  • Nov 30, 20216 min read
November '21 Heartbeat
Monthly updates are here! You will find great tutorials and workflows from the Community, Apache Airflow Integration, new CML docs, DVC en Español, news from the team, update on the coming online course, and more! 😅
  • Jeny De Figueiredo
  • Nov 17, 202112 min read
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