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 '20 Community Gems
Great discussions and technical Q&A's from our users.
  • Elle O'Brien
  • January 20, 20205 min. read
January '20 DVC❤️Heartbeat
Reaching 100 contributors, PyData LA, and more news from the DVC community.
  • Elle O'Brien
  • January 17, 20205 min. read
November ’19 DVC❤️Heartbeat
Co-hosting our first ever meetup, sharing our Hacktoberfest experience, 4K ⭐, fresh Discord gems and other news.
  • Svetlana Grinchenko
  • December 14, 201910 min. read
October ’19 DVC❤️Heartbeat
Every month we are sharing here our news, findings, interesting reads, community takeaways, and everything along the way.
  • Svetlana Grinchenko
  • November 05, 201911 min. read
DVC.org for Hacktoberfest 2019
Our favorite month of the year Hacktoberfest is already in full swing and we at DVC.org are so excited to be a part of it!
  • Svetlana Grinchenko
  • October 08, 20193 min. read
September ’19 DVC❤️Heartbeat
Announcing our first meetup in San Francisco, kicking off Google Season of Docs program, sharing Open Source Summit experience, and more news, links, and gems.
  • Svetlana Grinchenko
  • September 26, 201914 min. read
July ’19 DVC❤️Heartbeat
As we continue to grow DVC together with our fantastic contributors, we enjoy more and more insights, discussions, and articles either created or brought to us by our community.
  • Svetlana Grinchenko
  • August 01, 20199 min. read
June ’19 DVC❤️Heartbeat
First DVC user survey, sharing our PyCon experience, new portion of Discord discussions, and articles either created or brought to us by our community.
  • Svetlana Grinchenko
  • June 26, 20198 min. read
May ’19 DVC❤️Heartbeat
DVC accepted into Google Season of Docs 🎉, Dmitry's talk at the O’Reilly AI Conference, new portion of Discord gems, and articles either created or brought to us by our community.
  • Svetlana Grinchenko
  • May 21, 201911 min. read
DVC project ideas for Google Season of Docs 2019
DVC.org is applying for Google Season of Docs — a new and unique program sponsored by Google that pairs technical writers with open source projects to collaborate on the open source project documentation.
  • Svetlana Grinchenko
  • April 23, 20198 min. read
April ’19 DVC❤️Heartbeat
DVC creator Dmitry Petrov is giving a talk on PyCon 2019 🎤, new DVC logo design, new Discord discussions, interesting reads that caught our eye, and everything along the way.
  • Svetlana Grinchenko
  • April 18, 201912 min. read
March ’19 DVC❤️Heartbeat
The very first issue of the DVC Heartbeat! News, links, Discord discussions from the community.
  • Svetlana Grinchenko
  • March 05, 20195 min. read
ML best practices in PyTorch dev conf 2018
In the Machine Learning (ML) field tools and techniques for best practices are just starting to be developed.
  • Dmitry Petrov
  • October 18, 20184 min. read
Best practices of orchestrating Python and R code in ML projects
What is the best way to integrate R and Python languages in one data science project? What are the best practices?
  • Marija Ilić
  • September 26, 201710 min. read
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
  • August 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
  • July 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
  • July 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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