I think people are hesitant to call ML “statistical modeling” because traditional statistical models approximate the underlying phenomena; e.g., a logarithmic regression would only be used to study logarithmic phenomena. ML models, by contrast, seldom resemble what they’re actually modeling.
As an older developer, you could replace “machine learning” with “statistical modeling” and “artificial intelligence” with “machine learning”.
“I’m into if statements lately”
I think people are hesitant to call ML “statistical modeling” because traditional statistical models approximate the underlying phenomena; e.g., a logarithmic regression would only be used to study logarithmic phenomena. ML models, by contrast, seldom resemble what they’re actually modeling.
“It’s the same picture.”
fuzzy logic
I hear this all the time in my field.
“Can you just fuzzy match the records between the systems?”