You're better off just learning ML from its classics like Hastie & Tibshirani , Tom Mitchell, or Bishop PRML.
And learn finance from its own classics you can find in any "financial engineering" curriculum.
There is one I liked though because of hands-on approach:
"Machine Learning for Algorithmic Trading" https://www.amazon.com/Machine-Learning-Algorithmic-Trading-...
just assume its listed "strategies" are a sort of primitive "hello world"
Any other suggestions for good Packt books?
I agree, Packt’s quality is much lower than other publishers. As a rule of thumb I stay away but occasionally there’s a gem.
I’ve been looking at “Machine Learning for Algorithmic Trading”. It feels like a dump of wikipedia and a bunch of jupyter notebooks with sloppy code. I cannot decide if it’s worth the pain if slogging through that mess.
https://www.amazon.com/Machine-Learning-Algorithmic-Trading-...