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When we observe App notifications, there is a correlation between the number of notifications sent by the App and the probability that the user opens it.
If the number of notifications is high, there is a greater chance of the user opening the app, while at the same time, a greater risk of annoying the user. This analogy plays the same in the area of the feedback that we receive for our actions.
The Gradient Descent, which is a machine learning technique used in a neural network, provides us with this insight:
The way to overcome the problem of "Feedback Frequency" is to change your 'Step Size', which is inversely proportional to the feedback received. This is done by:
SIMILAR ARTICLES & IDEAS:
“It ain’t what you know that gets you into trouble. It’s what you know for sure that just ain’t so.”
The most useful learning isn’t usually a strict addition of new knowledge, but first unlearning something false or unhelpful.
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