You make it sound like "overfitting" is not an available concept machine learning researchers have even heard of or dealt with. If you tell me you don't have enough data that even the smallest model you can generate will still overfit, then that is another matter. But there are well known techniques and analytical processes to overcome overfitting. Also using situation specific equations is a common practice in ML and is usually referred to as Feature Engineering.