Oreilly Katacode Series

Very excited to share that based on the KubeCon '19 talk and [reproducible-ML project][repro-ml-blog] and E2E Reproducible ML project, O'reilly reached out to create an interactive (katacoda) scenario series deep-diving into challenges and solutions in realizing reproducible ML.

This course is now live on O'reilly platform and broken down into four parts: 1. Reproducible Deep Learning: Semantic Segmentation on Oxford Pets Dataset 2. Reproducible Deep Learning: Identifying the Reproducibility Challenge 3. Reproducible Deep Learning: Random Seeds and Process-Parallelism 4. Reproducible Deep Learning: Achieving 100% Reproducibility

[repro-ml-blog]: https://suneeta-mall.github.io/2019/12/20/Reproducibility-in-Machine Learning.html