Take a look at the primary algorithms used commonly in AI today - nothing exceeds high school level math. I posted about this earlier today but ML really shoul

Take a look at the primary algorithms used commonly in AI today - nothing exceeds high school level math. I posted about this earlier today but ML really should be demystified. You can write a lot of commonly used algorithms in 100 lines or fewer. The math is not complex. If you can get past the notation and buzzwords like "deep learning" (it's an artificial neural network, itself a grandiose term) you'll see it's not as daunting as most think. The reality is most "data scientists" will be working on implementation rather than creation. They'll be working on data sets and error analysis, not creating the next buzzword-laden algorithm.