Data project: 5 crucial steps
Getting started in data science inevitably means embarking on projects that can take a long time. As with any project, you need to know how to organize yourself, prioritize tasks and set milestones so you can monitor progress and make adjustments if necessary. According to a Chinese proverb, experience is a bald man’s comb. At […]
CI/CD for Kubeflow (part 2) by Tony Ruiz, GCP Customer Engineer at Google
This is the second part of a series Part 1 here Motivation The previous article discusses the complexities of the machine learning life cycle and how Vertex Pipelines, a managed version of Kubeflow on Google Cloud, can address operationalizing a machine learning model. The next step in the journey is to automate the training and […]
