David Barber (University College London)

Gebundenes Buch

Bayesian Reasoning and Machine Learning

Beschreibung

This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors.

Autor

David Barber is Reader in Information Processing in the Department of Computer Science, University College London.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 738
• Erscheinungstermin: 15. Februar 2019
• Englisch
• Abmessung: 250mm x 175mm x 44mm
• Gewicht: 1710g
• ISBN-13: 9780521518147
• ISBN-10: 0521518148
• Artikelnr.: 32699709

Rezensionen

'This book is an exciting addition to the literature on machine learning and graphical models. What makes it unique and interesting is that it provides a unified treatment of machine learning and related fields through graphical models, a framework of growing importance and popularity. Another feature of this book lies in its smooth transition from traditional artificial intelligence to modern machine learning. The book is well-written and truly pleasant to read. I believe that it will appeal to students and researchers with or without a solid mathematical background.' Zheng-Hua Tan, Aalborg University, Denmark