Uncovering The Unseen Costs of Machine Learning: Beware of Hidden Technical Debt

While machine learning is a powerful tool for rapidly creating complex systems that make predictions, it's important to remember that there's a catch. Just like taking on debt in software engineering, rushing into machine learning can lead to high ongoing maintenance costs down the road. This video explores challenges unique to machine learning systems, like unclear system boundaries, interwoven components, and unexpected data loops. We can design more robust and maintainable machine learning systems by considering these factors, like hidden dependencies, configuration issues, and external changes.

Link to document: https://proceedings.neurips.cc/paper/2015/file/86df7dcfd896fcaf2674f757a2463eba-Paper.pdf