Good solutions don't always need a buzzword list
Back in the early 2000s I was studying civil engineering. In one of the concrete classes I found that I could iteratively run the calculations to achieve significant optimizations in the total structure dimensions.
A couple semesters later in "computational static analysis" I found out that what I was doing was a naive attempt at finite element analysis.
A year later my CS major friend noted "oh, yeah! You where brute forcing that Parameter space".
Almost ten years later, in 2011, Andrew Ng showed me that this procedure, evaluating a cost function over a parameter space and iteratively adjusting the cost function based on the overall cost result was called Machine Learning.
Sure, there can be arguments made that a specific label might be stretching it but the core wisdom of the story is something else.
That's it. Thanks for reading.
