I’ve long heard that “a watched pot never boils,” but when I am heavily invested in the outcome of a process, I still tend to monitor it intently. In my impatience I begin to wonder if my attention is worse than useless, and is actually impeding the progress of the process! When considering Machine Learning models, it may be true. Let me explain.
This post first appeared on Elder Research Data Science & Machine Learning Blog, please read the originial post: here