ANA 680 Machine Learning

Mark Treveil, et al. (2021). Introducing MLOps: How to Scale Machine Learning in the Enterprise. 1^st edition, O'Reilly Media. Chapter 7: Monitoring and feedback loop.

Best Tools to Do ML Model Monitoring: https://neptune.ai/blog/ml-model-monitoring-best-tools:

Six lessons on Kubernetes concepts: https://kubernetes.io/docs/tutorials/kubernetes-basics/

Understanding AUC-ROC curve for monitoring deployed model performance: https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5

An article on model compression techniques. https://towardsdatascience.com/three-model-compression-methods-you-need-to-know-in-2021-1adee49cc35a

An Article on Knowledge Distillation. https://towardsdatascience.com/knowledge-distillation-simplified-dd4973dbc764

An Introduction to Windows Subsystem on Linux (WSL 2):  https://docs.microsoft.com/en-us/windows/wsl/about

Minikube: https://minikube.sigs.k8s.io/docs/

Kubernetes: https://kubernetes.io/docs/home/