Kubernetes with Machine Learning using KUBEFLOW
This talk will focus on the rapid containerization of Machine Learning applications using Kubernetes as an Orchestration Solution in the background. In the world of rapid application development and deployment, we are challenged with managing too many application deployments in parallel to beat the competition as the one who deploys the application first usually wins the race.Enter Kubernetes with Machine learning with Kubeflow a very robust solution to deploy you Machine Learning applications along with features such as auto scaling and GPU acceleration for optimum performance.This is going to be a live hands-on demonstration of deploying Machine Learning applications on Kubernetes with an introduction to KubeFlow and Jupyterhub which are the tools required to run and manage the ML application development and deployment.We will be covering topics which are relevant to both the developers and devops admins.
How NIA foster Technology Startups and the Open Source Community
Internet Universality in Thailand
ELECT : Civic Tech for Thai Election
Open Source High
Billions of dollars are spent globally each year in an effort to reform education systems to be prepare our children for the digital age. Yet little progress is made: especially for the billions of children in developing countries unable to afford private schools. Open source education may be the key. The speaker will discuss how all the tools currently exist to create an true open source secondary education system that will not just produce kids fully eligible and capable for university, but with the skills to thrive in the digital age.