Automating Machine Learning Workflow with DVC

Explore a comprehensive guide to automating machine learning workflows using DVC in this 30-minute talk from EuroPython 2020. Learn how to create efficient ML pipelines, from data ingestion to model deployment, regardless of project size. Discover the benefits of organizing data, models, and experiments with DVC, an open-source version control system for data scientists and ML engineers. Gain practical insights through examples and understand essential machine learning concepts necessary for pipeline implementation. Suitable for beginners, this presentation aims to motivate data scientists and ML engineers to start building automated machine learning pipelines, with basic knowledge of machine learning and version control systems being helpful but not mandatory.

Hongjoo Lee - Automating machine learning workflow with DVC