Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)
by Luis Enrique Sucar
English | 2021 | ISBN: 3030619427 | 355 Pages | EPUB | 30 MB
This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. It features new material on partially observable Markov decision processes, graphical models, and deep learning, as well as an even greater number of exercises.
If You Find Any Dead LInk Please Send Me PVT MSG
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
https://uploadgig.com/file/download/0Daf5941edcd358e/kxnyc.Probabilistic.Graphical.Models.Principles.and.Applications.rar
https://rapidgator.net/file/44b6e1eb40aa1a88672fdf21baf6b4d1/kxnyc.Probabilistic.Graphical.Models.Principles.and.Applications.rar.html
http://nitroflare.com/view/43E2D4048BA94AF/kxnyc.Probabilistic.Graphical.Models.Principles.and.Applications.rar