Tutorial

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.

This month, hear about our international talks, new video docs on our YouTube channel, and the best tutorials from our community.

Use your own GPUs with GitHub Actions & GitLab for continuous machine learning.

A video tutorial about 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.

A philosophical and practical guide to using continuous integration (via GitHub Actions) to build an automatic model training system.

A virtual poster for SciPy 2020 about sharing versioned datasets and ML models with DVC.

Releasing an open natural language dataset based on r/AmItheAsshole.

What is the best way to integrate R and Python languages in one data science project? What are the best practices?

Here we'll talk about tools that help tackling common technical challenges of building pipelines for the ensemble learning.