Bayesian Networks An Introduction

This book evolved from courses developed at Linköping Institute of Technology and KTH, given by the authors, starting with a graduate course given by Timo Koski in 2002, who was the Professor of mathematical Statistics at LiTH at the time and subsequently developed by both authors. The book has been aimed at senior undergraduate, masters and beginning Ph.D. students in computer engineering. The students are expected to have a first course in probability and statistics, a first course in discrete mathematics and a first course in algorithmics. The book provides an introduction to the theory of graphical models.

Complex Network Analysis in Python

This book is an excellent read for anyone who wants to learn the fundamentals of complex network analysis with a focus on application. The case studies cover a variety of topics and help readers link concepts to applications, providing readers with a clear, well-structured, hands-on experience .....