Web Reference: Nov 1, 2019 · The purpose of this brief review of the relatively novel field of data-driven modeling in science and engineering, is to give a scent of different approaches and applications in several scientific and engineering fields of data-driven modeling. Jan 13, 2026 · From Ising models to RNNs: Hopfield networks, Boltzmann machines, LSTMs, echo state networks, and reservoir computing. DDM explores all aspects of data-driven modelling, from its mathematical foundations to applications in sciences, engineering, and social sciences, focusing on complex, difficult-to-model phenomena.
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