Weekend reading rec for anyone doing financial ML: regime detection literature is seriously underrated relative to its practical value.

Hidden Markov Models for market states, changepoint detection, clustering on vol surfaces — most practitioners I talk to either skipped this or only grazed it.

Happy to share a reading list if there's interest. Also genuinely curious: what do you consider essential in this space? Papers, textbooks, anything.