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    DVC AI Blog

    Find here DVC AI news, findings, interesting reads, community takeaways, deep dive into machine learning workflows from data versioning and processing to model productionization.

    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
    • Jun 26, 20195 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, 20197 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
    • Apr 23, 20196 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
    • Apr 18, 20198 min read
    March ’19 DVC❤️Heartbeat
    The very first issue of the DVC Heartbeat! News, links, Discord discussions from the community.
    • Svetlana Grinchenko
    • Mar 05, 20193 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
    • Sep 26, 20176 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
    • Aug 23, 20178 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, 20174 min read