Posts tagged with "R" | Data Version Control

Monthly updates are here! Making sense of the MLOps Landscape, Community love, our MLOps philosophy, DVC Studio, R for DVC, new learning opportunities, team members and more!

Jeny De Figueiredo
Jun 18, 2021 • 9 min read

January ’21 Heartbeat

Monthly updates are here! read all about our new R language tutorial, putting DVC to work on an image segmentation pipeline, and a new fast way to setup your DVC remote.

Elle O'Brien
Jan 20, 2021 • 5 min read

November ’20 Heartbeat

Catch our monthly updates- featuring new video docs and talks, new jobs at DVC, and must-read contributions from the community about MLOps, data science with R, and ML in production.

Elle O'Brien
Nov 11, 2020 • 6 min read

September ’20 Heartbeat

This month, catch us on the Software Engineering Daily Podcast, check out our favorite DVC and CML tutorials and projects, and celebrate 1000 YouTube subscribers!

Elle O'Brien
Sep 09, 2020 • 6 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, 2017 • 10 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, 2017 • 13 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, 2017 • 16 min read