Accelerating Machine Learning DevOps with Kubeflow
This video is also available in the GOTO Play video app! Download it to enjoy offline access to our conference videos while on the move.
Kubeflow is an exciting new technology for enabling data scientists and software engineers to move their models smoothly from development through training and into Production with the same ease that we have come to expect from DevOps technologies on other platforms.
In this session, Derek Ferguson, Head of Engineering for JP Morgan Chase's Commercial Bank, will provide a quick tour of this exciting new technology and impart the skills needed to get your machine learning tasks up-and-running on the Kubernetes cluster of your choice today.
Who should attend this talk: Data Scientists or Software Engineers interested in setting up DevOps environments for Machine Learning.
Academic level: Intermediate
What is the take away in this talk: You will leave with a practical understanding of Kubeflow and its basic capabilities.
-
Using Kubernetes for Machine Learning FrameworksArun GuptaMonday Apr 29 @ 11:30 AM
-
The Mechanized PenRoss GoodwinTuesday Apr 30 @ 5:30 PM
-
(Deep) Learn a Neural Net For Greater Good!Michael “Stu” StewartTuesday Apr 30 @ 10:20 AM
-
Accelerating Machine Learning DevOps with KubeflowDerek FergusonTuesday Apr 30 @ 4:20 PM
-
Code + AI: Will Robots Take Our Coding Jobs?" Machine Learning Applied to ProgrammingStephen MagillTuesday Apr 30 @ 3:10 PM