Forthcoming
Machine Learning as the Search for Structure
What really happens when a system learns?
The book offers a structural view of machine learning, moving from data and patterns to transfer, invariants, state spaces, and the testing of stable structure.
Its central question is simple: did the system truly discover structure, or did it merely learn to reproduce familiar conditions well?
Learning begins with experience, but structure begins with what survives change.