Join Chicago ML for an evening featuring Kubeflow, the machine learning toolkit for Kubernetes. We're featuring two presentations:
- Case study using Kubeflow by Ross Claytor from Maven Wave
- Introduction to machine learning automation with Kubeflow by Garrett Smith from Guild AI
Kubeflow automates machine learning workflows in Kubernetes. It's used to manage standardized platforms for distributed training and model hosting. In the presentations, you'll learn the basics of this important tool and see how it can accelerate deep learning by leveraging multiple GPUs.
We'll hear first from Ross Claytor of Maven Wave about a case study using Kubeflow to train a number of predictors on GKE to create a final predictor using an ensemble. Following Ross's presentation, we'll hear from Garrett Smith on where Kubeflow fits in the arena of workflow automation tools for machine learning.
Drinks will be provided by our host Maven Wave.