No, I learned about ML in another way: working with a CS professor who worked on ML at the time. This was back in the days when autodifferentiation was not well known, so we had to come up with analytic derivatives of our loss function to do gradient descent.

What I learned in Cybernetics was really: how prefix-free codes work (unsurprising given that Huffman was the instructor), how karnaugh maps work, and something about sphere packing being easy in 8 dimensions. Oh, and that Huffman was an arrogant jerk but also an excellent teacher.