Mastering probabilistic graphical models using Python master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

If you are a researcher or a machine learning enthusiast, or are working in the data science field and have a basic idea of Bayesian learning or probabilistic graphical models, this book will help you to understand the details of graphical models and use them in your data science problems.

Bibliographic Details
Other Authors: Ankan, Ankur, author (author), Panda, Abinash, author
Format: eBook
Language:Inglés
Published: Birmingham, England ; Mumbai, India : Packt Publishing 2015.
Edition:1st edition
Series:Community experience distilled.
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629677806719
Description
Summary:If you are a researcher or a machine learning enthusiast, or are working in the data science field and have a basic idea of Bayesian learning or probabilistic graphical models, this book will help you to understand the details of graphical models and use them in your data science problems.
Item Description:Includes index.
Physical Description:1 online resource (284 p.)
ISBN:9781784395216