“…Among the earliest techniques are Hebb's cell assembly theory (Hebb, 1949) (which later gave birth to the "perceptron" in the 1950s, and then to neural networks), with Widrow and Hoff (1960) demonstrating, around fifteen years later, the links with least-squares methods, the SVM (support vector machine) and, more recently, boosting methods. While the two communities have developed in parallel, big data require links to be built between the two approaches by bridging the "two cultures" referred to by Breiman (2001a), contrasting mathematical statistics, which may be likened to traditional econometrics (Aldrich, 2010), with computational statistics and machine learning more generally.…”