Please log in to watch this conference skillscast.
This session will focus on Kubeflow Pipelines, a platform to enable end-to-end orchestration of ML pipelines as well as easy experimentation and re-use. You'll learn how to build and manage machine learning workloads that can scale.
YOU MAY ALSO LIKE:
- Machine Learning at scale: TensorFlow in the Cloud - Intermediate (SkillsCast recorded in July 2017)
- Intermediate Docker with Matt Saunders (Online Course on 19th - 22nd October 2021)
- Patterns for a Successful Cloud Native Transformation (SkillsCast recorded in June 2021)
- Cloud, OpenSource and Community (SkillsCast recorded in June 2021)
Using Kubeflow Pipelines for building machine learning pipelines
Yufeng is a Developer Advocate focusing on Cloud AI, where he is working to make machine learning more understandable and usable for all. He is the creator of the YouTube series AI Adventures, at yt.be/AIAdventures, exploring the art, science, and tools of machine learning.