Some terminology is NLP

Induction: from example, generate rules.

Deduction: from rules, get instance.

Bias: inability of model function to approximate data. Usually arise from not sufficiently complex hypothesis space.

Variance: sensitivity to change in training data. Usually due to having the ability to learn complex hypothesis.