Overview
Learn to build a comprehensive MLOps platform using the open-source Data Version Control (DVC) ecosystem in this detailed technical tutorial from Data Science Conference Europe 2023. Discover how to implement version control for data, artifacts, and models through hands-on demonstrations of DVC and DVCLive functionalities. Master experiment management and metrics tracking using DVCLive integrated with VSCode, while exploring the setup of automated CI/CD pipelines for ML model testing and deployment. Drawing from extensive industry experience across Banking, Telecommunication, Automotive, Retail, Health, and Public sectors, gain practical insights into DVC's applications and limitations in various ML domains including computer vision, NLP, and batch scoring. Benefit from real-world implementation strategies and best practices accumulated from over two years of integrating DVC into diverse machine learning projects.
Syllabus
Build End-To-End MLOps Platform with Open Source DVC Ecosystem | Mikhail Rozhkov | DSC Europe 23
Taught by
Data Science Conference