Machine Learning and ML at a Relative Scale

99% of machine learning teams are doing awesome things at a reasonable scale with four people and two production models. Most of the industry best practices come from a handful of companies operating models at hyperscale. The folks over at neptune.ai want to change that by sharing insights, tool stacks and real life stories from practitioners doing machine learning and ML ops at areasonable scale. They even built a flexible tool for experiment tracking and model registry that will fit with your workflow at no scale, reasonable scale and beyond. Check them out at neptuni.ai.