banjo_milkman

Also Bishop 'Pattern Recognition and Machine Learning' is a classic reference but even older.

The Goodfellow book is the obvious one.

The Pedro Domingos book the Master Algorithm tries to address this itch / may be less philosophical that you want.

'Machine Learning: A probabilistic perspective' by Kevin Murphy, which does have exercises

I liked it more than I expected. I thought the AI bits were quite good.

Good, though I think I preferred the earlier books. It's still very compelling, but a little too much Hitler in this one

The Great Leveler: Violence and the History of Inequality from the Stone Age to the Twenty-First Century Seems moderately depressing so far.

Poetic landscape history, reminiscent of Sebald. Good stuff.