ML engineering often refers to the process of building and maintaining machine learning models. Thus, it is also similar to MLOps. From my perspective, it is also an standard workflow to build a machine learning model in production.
In my notes, we start from model selection, then model training, and finally model deployment.
Quickstart
Dive into model training
- Train a DETR model with Ray Train and PyTorch-Lightning
- Hyperparameter tuning with Ray Tune and Optuna