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.
ML Model Ensembling with Fast Iterations
Here we'll talk about tools that help tackling common technical challenges of building pipelines for the ensemble learning.
  • George Vyshnya
  • Aug 23, 201712 min read
Data Version Control in Analytics DevOps Paradigm
Why DevOps matters in data science, what specific challenges data scientists face in the day to day work, and how do we setup a better environment for the team.
  • George Vyshnya
  • Jul 27, 20175 min read
R code and reproducible model development with DVC
In this document we will briefly explore possibilities of a new open source tool that could help with achieving code simplicity, readability and faster model development.
  • Marija Ilić
  • Jul 24, 201715 min read
How A Data Scientist Can Improve His Productivity
Data science and machine learning are iterative processes. It is never possible to successfully complete a data science project in a single pass.
  • Dmitry Petrov
  • May 15, 20176 min read
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