Explore an end-to-end machine learning pipeline for categorizing Docker Hub's public images using Docker Enterprise and Kubeflow. Learn how Docker's data engineers developed a production-ready system to automatically classify container images, leveraging various data sources and machine learning techniques. Discover the benefits of running machine learning pipelines on Docker Enterprise, including security scanning, monitoring, and deployment flexibility. Gain insights into the project's implementation, which emphasizes portability and reduces complexity. This 36-minute talk, presented by Docker Software Engineer Roberto Hashioka and Data Engineer Amn Rahman, provides inspiration and concrete examples for engineers and data scientists considering containers to improve existing applications.
Categorizing Docker Hub's Public Images - End-to-End Machine Learning Pipeline with Docker Enterprise
Overview
Syllabus
Categorizing Docker Hub's Public Images: End-to-End Machine Learning Pipeline with Docker Enterprise
Taught by
Docker
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