In this post, I discuss key concepts for building effective machine learning workflows, focusing on reproducibility, artifact tracking, and automation. While I use a weather recognition project with Kubeflow Pipelines and Vertex AI as an example, the true goal is to share practical tips and important considerations.
https://martynassubonis.substack.com/p/reasoning-about-ml-workflows