Workshop: Scaling Machine Learning in the Cloud with Kubernetes
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In this workshop, you’ll learn how to leverage Kubernetes to deploying complex workloads in the cloud, on bare metal and locally. You’ll learn how Kubernetes provides a fast iteration cycle, flexible scalability, and a lack of boilerplate which makes it ideal for most of the machine learning experiments.
Please install the following software on your computer:
- - Kubectl
- - Docker
- - Bash (please install Cmder if you're on Windows)
- - Git
- - Python 2.7 and pip
- - A text editor such as Atom
You should also create an account on Docker Hub.
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Workshop: Scaling Machine Learning in the Cloud with Kubernetes
Salman Iqbal
Salman is a Technical Lead at Office for National Statistics.
Daniele Polencic
Daniele Polencic is a well-known face in London’s tech scene. A technical consultant for learnk8s.io and certified training partner for Kubernetes and the Linux Foundation, Daniele is a passionate proponent for JavaScript programming, and consults with startups when he is not coding himself.