Develop and Deploy ML Projects with Metaflow and Seldon
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Discover how to develop and deploy machine learning projects using Metaflow and Seldon in this comprehensive conference talk. Learn from industry experts as they guide you through the full stack of ML infrastructure, covering the entire project lifecycle from prototyping to production deployments. Explore Metaflow, an open-source framework developed at Netflix for creating robust ML workflows and training models at scale. Dive into Seldon, a powerful tool for model deployments used in thousands of clusters. Gain insights from core developers of both platforms as they demonstrate how to develop models at scale and deploy them to production-grade infrastructure. Participate in an open Q&A session to address your specific questions about ML infrastructure. Perfect for data scientists, ML engineers, and professionals looking to enhance their skills in developing and deploying machine learning projects efficiently.
Syllabus
Develop and Deploy ML Projects with Metaflow and Seldon
Taught by
Toronto Machine Learning Series (TMLS)