Digest: Machine Learning: The High-Interest Credit Card of Technical Debt Paper
By: D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young link to the paper Coming from a software background, I was very interested in this paper as it applies the concept of technical debt, often discussed in the software world, to machine learning. The basic gist of the paper is that like software, machine learning takes on technical debt as well. Not all technical debt is bad but being able to analyze where you’re taking on debt and what it costs is a great skill to have....