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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.

    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
    R code and reproducible model development with DVC
    There are a lot of example on how to use Data Version Control (DVC) with a Python project. In this document I would like to see how it can be used with a project in R.
    • Marija Ilić
    • Jul 24, 20179 min read