DVC for Enterprise
- data access control & compliance!
Meet the Community
Posts tagged with "MLOps"
March '21 Heartbeat
Monthly updates are here! News, use cases, videos, journal publications and more!
Jeny De Figueiredo
Mar 15, 2021 • 6 min read
DVC 2.0 Release
Today is DVC 2.0 release day! Watch a video from DVC-team when we explain the new features and read more details in this blog post.
Mar 03, 2021 • 19 min read
DVC 2.0 Pre-Release
Today, we're announcing DVC 2.0 pre-release. We'll share lessons from our journey and how these will be reflected in the coming release.
Feb 17, 2021 • 15 min read
February '21 Heartbeat
Monthly updates are here! Read all about our growing team, our CEO's interview on The New Stack, integration with spaCy and more!
Jeny De Figueiredo
Feb 16, 2021 • 6 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.
Jan 20, 2021 • 5 min read
December '20 Heartbeat
Monthly updates are here- read all about our brand new video docs, the DVC Udemy course, open jobs with our team, and essential reading about Git-flow with DVC.
Dec 18, 2020 • 6 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.
Nov 11, 2020 • 5 min read
NEW VIDEO! 🎥 MLOps Tutorial #1: Intro to continuous integration for ML
A video tutorial abut using continuous integration in data science and machine learning projects. This tutorial shows how to use GitHub Actions and Continuous Machine Learning (CML) to create your own automated model training and evaluation system.
Jul 24, 2020 • 2 min read
What data scientists need to know about DevOps
A philosophical and practical guide to using continuous integration (via GitHub Actions) to build an automatic model training system.
Jul 16, 2020 • 12 min read
Subscribe for updates. We won't spam you.