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Hello All:
In minute 23:45 of Lecture 11, the restricted learner's reasoning is based on a rule of thumb, whereby you should have 10 data points for every parameter you want to estimate in your model. Where (in the book or in the other lectures) can I find more information on the justification for this rule of thumb? |
Tags |
overfitting, rule of thumb |
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