Shelf
Books
Mostly probability, machine learning, and systems. The line under each one is what it changed, not what it covered.
Technical
Probabilistic Machine Learning: An Introduction
The book that made me stop treating a model as an algorithm and start treating it as a claim about a distribution.
Deep Learning
Dated in its coverage and still the clearest account of why the optimisation actually works.
Probability & statistics
Probability Theory: The Logic of Science
Argues that probability is extended logic rather than a theory of frequencies, and it is very hard to un-see once you have read it.