Probabilistic Data-Driven Modeling

Discover the innovative world of data modeling with Probabilistic Data-Driven Modeling by Tomaso Aste, set to be published by Cambridge University Press in 2025. This comprehensive hardback edition spans 452 pages and introduces a robust selection of methodologies and approaches designed for constructing models from diverse data sources. Aste expertly navigates the estimation of multivariate probabilities, providing a solid framework that encompasses everything from linear regressions to advanced deep learning neural networks. Ideal for professionals and academics alike, this book is a must-read for anyone interested in the intersection of statistics and complexity science. Enhance your understanding of data-driven modeling and elevate your analytical skills with this essential resource.