"This landmark book provides a very extensive coverage of the field, ranging from basic representational issues to the latest techniques for approximate inference and learning. As such, it is likely to become a definitive reference for all those who work in this area. Detailed worked examples and case studies also make the book accessible to students."--Kevin Murphy, Department of Computer Science, University of British Columbia
I have not read most of the books but have read enough to write positive things about it.
Well organized, clearly explained, most importantly, with human readable examples ,not only complex math formulas, which I hate for most of books.
If you want a very close look under the hood of Bayesian Networks, I can highly recommend Probabilistic Graphical Models.
This popular book makes a noble attempt at unifying the many different types of probabilistic models used in artificial intelligence. Read morePublished 4 months ago by CJ
This was the book that really got me into AI research. Clearly written and detailed. I especially like that variational inference is taught using discrete variables so you don't... Read morePublished 5 months ago by Ian Goodfellow
I just started reading this book for a course I want to do the coming semester. It seems like a very interesting book, exploring in depth probabilistic graphical models. Read morePublished 7 months ago by Klim
Super comprehensive but super dry. Not an interesting read on its own. More like a reference manual. Informative but boring.Published 9 months ago by Phillip C. Adkins
Fantastic....great text. At just the right level.
(The use of pseudo code really helps the process of understanding the material)
A great review of the book from Kevin Murphy appeared in Artificial Intelligence Journal.
Book Review of "Probabilistic graphical models" by Koller and... Read more
If you want a very close look under the hood of Bayesian Networks, I can highly recommend Probabilistic Graphical Models. Read morePublished 12 months ago by Kevin S. Gray
The book integrates several ideas into a well defined concept.
It is easy to read, with good examples and exercises.
I am not reviewing the book itself, which I just bought and started reading. I am reviewing the Kindle version product. Read morePublished 17 months ago by Marcos Silva