Motivation

	Inductive Learning	Analytical Learning
Goal	Hypothesis fits data	Hypothesis fits domain theory
Justification	Statistical inference	Deductive Inference
Advantages	Requires little prior knowledge	Learns from scarce data
Pitfalls	Scarce data, incorrect bias	Imperfect domain theory

They seem very complementary.
We want something in between!
Example: If your had to review a medical database and learn "symptoms for which drug X is more effective than Y" you would look at relevant attributes (temperature, not insurance), then refine using data.
Some domain theory (background knowledge) does squeeze into inductive methods, e.g., when choosing an encoding.