Everything that we see and don’t see, experience, feel, and think about are all abstractions. There is no proof that these things…
There is a bias-variance trade-off in ML. Bias corresponds to a rigid learning algorithm with poor performance on a training dataset and on a testing dataset — it doesn’t show a pattern, and more data won’t fix the problem. In the case of variance, a learning algorithm…