Leveraging Seqera Platform on AWS Batch for machine learning workflows – Part 1 of 2
HPC Blog
This article discusses how to leverage the Seqera Platform on AWS Batch for machine learning workflows in healthcare and life sciences. It is a two-part series.
Specifically, the article covers:
- An overview of the Seqera Platform and its integration with AWS services like AWS Batch and Amazon S3
- A sample machine learning pipeline for image classification using the Wisconsin Diagnostic Breast Cancer dataset
- How Seqera Platform is used by leading biotechnology and pharmaceutical companies for data analysis and machine learning workloads on AWS
- The benefits of using Seqera Platform, such as simplified deployment, resource optimization, and collaboration across teams and organizations
- A teaser for the second part, which will provide a step-by-step guide for deploying the Seqera environment on AWS
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