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....

October 22, 2020 · 4 min · Greg Hilston

Digest: A Few Useful Things to Know about Machine Learning

Digest of This paper: A Few Useful Things to Know about Machine Learning In this digest format, I’ll simply be quoting portions of the paper I found interesting. This is mainly a method for me to summarize papers I’ll be reading, both out of interest and out of hopes at getting better at reading white papers. Comments and questions are appreciated at the bottom. All quotes are from the papers....

September 24, 2018 · 5 min · Greg Hilston