Probabilistic Data-Driven Modeling, Hardback/Tomaso (University College London) Aste

This book introduces a powerful selection of methodologies and approaches for constructing models from data from various domains from statistics to complexity science. This book uses the estimation of multivariate probabilities as a frame of reference for the entire domain, from linear regressions to deep learning neural networks. Publisher: Cambridge University Press Author(s): Tomaso (University College London) Aste Illustration(s): Worked examples or Exercises Number of pages: 452 Publication date: 2025 Dimensions: 260 x 186 x 32 Cover type: Hardback