MLOps is mostly data engineering. As organizations ride past the hype cycle of MLOps, we realize there is significant overlap between MLOps and data engineering. As ML engineers, we spend most of our time collecting, verifying, pre-processing, and engineering features from data before we can even begin training models.  Only 5% of developing and deploying …

Building an ML Experimentation Platform for Easy Reproducibility Using lakeFS Read More »