This post is not by Andrew. Now it was spurred by Andrew’s recent post on Statistical Thinking enabling good science. The day of that post, I happened to look in my email’s trash and noticed that it went back to 2011. One email way back then had an attachment entitled Learning Priorities of RCT versus […]
Author: Keith O’Rourke
Explainable ML versus Interpretable ML
First, I (Keith) want to share something I was taught in MBA school – all new (and old but still promoted) technologies exaggerate their benefits, are overly dismissive of difficulties, underestimate the true costs and fail to anticipate how older (less promoted) technologies can adapt and offer similar and/or even better benefits and/or with less […]
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