Many data scientists try to create models that can "fit an elephant," referring to a complex set of data points. CSHL Professor Partha Mitra describes how he views problems like these in Nature Machine Intelligence. While the role of strong prior knowledge can work well in some situations, the complete absence of prior assumptions will work adequately in others. Mitra discusses a middle ground that incorporates a little bit of both points of view.
