Machine Learning - A Probabilistic Perspective
Users: 2 - Average Rating: 4.50
This book is divided into several chapters explaining different Machine Learning methods and recent approaches in the trend of statistics and probability. These fields have been gaining new insights with recent developments in areas from Bayesian Bayesian Gaussian models to mathematical models. Most procedures are implemented inside a MATLAB package called PMTK.
Type:
Book
Area:
Machine Learning
Target Group:
Basic
Cite as:
Murphy, K. P. (2012). Machine learning: a probabilistic perspective. MIT press. ISBN 978-0-262-01802-9
Author of the review:
Inês Sena
Research Centre in Digitalization and Intelligent Robotics (CeDRI) - Instituto Politécnico de Bragança
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Pablo Guerrero-Garcia