The ML is made of, and expressed in terms of, math. There’s no way round that if you want to train models; you need first-year undergrad statistics and linear a

The ML is made of, and expressed in terms of, math. There’s no way round that if you want to train models; you need first-year undergrad statistics and linear algebra. In other words, just as you do with any language, you need to understand the grammar and vocabulary. You don’t have to know how the operations involved doing what they’re doing, in the sense that you don’t need to know how matrix multiplication is implemented any more than you need to understand Timsort to call sort() in Python, but you do need to know matrix arithmetic. That isn’t being a math wizard, it’s the price of entry.