For what it's worth, most of the programming in the ML class when I took it last year was MATLAB based - since it mostly involved lots of linear algebra, and using MATLAB meant you got matrix operations for free. AI class, on the other hand, involved coding an increasingly more intelligent Pacman agent in Python as we learned new approaches to optimizing reward.
Having said that, taking ML definitely made my theory stronger - but this was mostly due to the amount of proofs in the class, and not so much the programming :)
Having said that, taking ML definitely made my theory stronger - but this was mostly due to the amount of proofs in the class, and not so much the programming :)