Probabilistic Graphical Models

Principles and Applications

Autori

• Luis Enrique Sucar

Parametri

• 384 pagine
• 14 ore di lettura

• Libri di testo

Maggiori informazioni sul libro

The book offers a comprehensive introduction to probabilistic graphical models (PGMs) tailored for engineering students. This updated edition includes fresh insights into partially observable Markov decision processes, causal graphical models, and deep learning. Enhanced with numerous exercises, it also features a software library for implementing various graphical models in Python, making it a practical resource for both learning and application.

Lingua: Inglese

Pubblicato: 2021

(In brossura)