#Install apache spark digitalocean how to#

вЂњThe Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable.

#Install apache spark digitalocean how to#

How to get our open source characters to work together in an easily reproducible method for denoising low-dose CT scans.

The problem (why not just use rapid tests?).

Exposition (getting to know our main characters вЂ“ you are here).

An overview of the three parts (WARNING: SPOILERS) BUT! There is a good story here, with lots of important takeaways, so pour yourself a glass of tea (or whiskey) and cozy up by the fire as we present Denoising CT Scans With Open Source Friends, a story in three parts. Can they overcome their differences to create something helpful for denoising low-dose CT scans to help radiologists do early diagnoses of COVID-19? Since this is the first time youвЂ™re hearing about it (now, about two years into the pandemic), you can probably guess, no. They were born in different generations to solve similar but different problems.

The characters on this adventure will be Kubernetes, Kubeflow, Apache Spark, and Apache Mahout-a motley crew indeed. So we begin with a bit of exposition to introduce our open source characters and our problem. As Fry said in Futurama, вЂњTime makes fools of us all.вЂќ As such there are some bits that are broken now, and I will do my best to call them out with potential workarounds. ItвЂ™s a solid example nonetheless of the data problem involved in denoising low-dose CT scans, and the clever use of open source software to get to a quick and easily reproducible method for doing just that. Although weвЂ™re publishing this blog post series now, the research that inspired this series began in the spring of 2020 and was published in the fall of 2020. WeвЂ™ll do this with a real-world use case of analyzing COVID-19 CT Scans.

Welcome to part one of a three part series that will show how to use Kubernetes, Kubeflow, Apache Spark, and Apache Mahout to denoise CT scans.