The Math You Actually Need: Calculus, Linear Algebra, and Stats

When I started, I was terrified of the math. Do you need to be a mathematician to do ML? No. But you do need intuition. You don’t need to solve integrals by hand, but you need to understand what a derivative is to know how gradient descent works. You need linear algebra to understand embeddings. You need statistics to evaluate your models. Focus on the concepts, not the raw computation. Libraries handle the heavy lifting, but the intuition guides your decisions.