This difficulty is often not due to math - because of the aforementioned frameworks machine learning implementations do not require intense mathematics. An aspect of this difficulty involves building an intuition for what tool should be leveraged to solve a problem. This requires being aware of available algorithms and models and the trade-offs and constraints of each one. — Why is machine learning ‘hard’?