Machine Learning at Scale Using KubeFlow on AWS

Explore machine learning at scale using KubeFlow on AWS in this 35-minute CNCF conference talk. Discover how to build scalable architectures for ML training and inference using Kubeflow, an open-source ML toolkit for Kubernetes, combined with distributed storage on Amazon EFS. Learn about the growing importance of data science and machine learning in modern businesses, and gain hands-on experience through a practical demonstration. Follow along as the speaker guides you through setting up the environment, creating volumes, launching Jupyter notebooks, and downloading datasets, all while leveraging the power of Amazon EKS for container orchestration.

Introduction
Why Machine Learning with Containers
KubeFlow
Setup
efs
Create Volume
Create Jupyter Notebook
Download Data Set