Book Image

Mastering Probabilistic Graphical Models with Python

By : Ankur Ankan
Book Image

Mastering Probabilistic Graphical Models with Python

By: Ankur Ankan

Overview of this book

Table of Contents (14 chapters)
Mastering Probabilistic Graphical Models Using Python
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

About the Reviewers

Matthieu Brucher holds a master's degree from Ecole Supérieure d'Electricité (information, signals, measures), a master of computer science degree from the University of Paris XI, and a PhD in unsupervised manifold learning from the Université de Strasbourg, France. He is currently an HPC software developer at an oil company and works on next-generation reservoir simulation.

Dave (Jing) Tian is a graduate research fellow and a PhD student in the computer and information science and engineering (CISE) department at the University of Florida. He is a founding member of the Sensei center. His research involves system security, embedded systems security, trusted computing, and compilers. He is interested in Linux kernel hacking, compiler hacking, and machine learning. He also spent a year on AI and machine learning and taught Python and operating systems at the University of Oregon. Before that, he worked as a software developer in the Linux Control Platform (LCP) group at the Alcatel-Lucent (formerly, Lucent Technologies) R&D department for around 4 years. He got his bachelor's and master's degrees from EE in China. He can be reached via his blog at http://davejingtian.org and can be e-mailed at .

Xiao Xiao got her master's degree from the University of Oregon in 2014. Her research interest lies in probabilistic graphical models. Her previous project was to use probabilistic graphical models to predict human behavior to help people lose weight. Now, Xiao is working as a full-stack software engineer at Poshmark. She was also the reviewer of Building Probabilistic Graphical Models with Python, Packt Publishing.