Rasmussen Williams – Gaussian Processes for Machine Learning

Libro adottato a Modena e Reggio Emilia, a.a. 2026/2027 · 1 canale

«Rasmussen Williams – Gaussian Processes for Machine Learning» è adottato per Laboratory Of Machine Learning And Advanced Computing For Physics dal prof. Federico Grasselli (Physics - Fisica – sede di Modena – Modena e Reggio Emilia).

Come lo indica il docente: - C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006, ISBN 026218253X. c 2006 Massachusetts Institute of Technology. Available online: www.GaussianProcess.org/gpml - Parallel Programming: Concepts and Practice 1st Edition, by Bertil Schmidt, Jorge Álvaro Gonzalez-Martinez, Christian Hundt, Moritz Schlarb, Morgan Kaufmann, 9780128498903 - P. Mehta et al.: A high-bias, low-variance introduction to Machine Learning for physicists. Phyics Reports 810 (2019) 1-124. Available online: https://arxiv.org/pdf/1803.08823

Chi lo adotta

• Laboratory Of Machine Learning And Advanced Computing For Physics – Prof. Federico Grasselli (canale unico)Physics - Fisica – sede di Modena · Laurea magistrale (LM-17) · 1º anno · annuale · 6 CFU

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