Review of "Timeless Algorithms: The Foundational Ideas" by Gary Sutton
A review of the Manning early access (MEAP v5) edition of Timeless Algorithms: The Foundational Ideas by Gary Sutton, which builds each chapter around one foundational work, from Bayes in 1763 to the 2020 scaling laws. The premise is excellent and several worked examples are first-rate, but most chapters teach the textbook method instead of the work they are named for, a number of worked examples fail in their setups, the five-layer "hidden stack" framework disappears after chapter 1, and the prose needs a hard edit.