Comprehensiveness rating: 5 read less
The book is appropriately comprehensive, covering the basics as well
as interesting and important applications of Bayesian methods.
Accuracy rating: 4
Generally, the book's coverage is accurate. Because the style of the
book is somewhat informal, sometimes there is some lack of precision
(but nothing serious).
Relevance/Longevity rating: 4
The approach is currently very relevant. It uses Python code
throughout. I expect Python to continue to be of interest in the
near and probably medium-term future, so the longevity of the book
should be quite good.
Clarity rating: 5
The writing style is somewhat informal, and so clarity will be high
for newbies. For those wanting a more formal treatment, it would be
better to look for a more advanced, mathematical treatment.
Consistency rating: 5
The entire book is written by a single author, using consistent
style, terminology, and approach throughout.
Modularity rating: 5
After getting the basics down, it should be easy for the reader to
read individual chapters and get the key ideas without needing to
refer much to other chapters.
Organization/Structure/Flow rating: 5
The organization and flow is excellent. I found it very easy to read
the book cover to cover.
Interface rating: 5
The interface is pleasant and easy to navigate. The Python code
scattered throughout the book is also easy to identify and follow.
Grammatical Errors rating: 5
I did not find any significant grammatical issues.
Cultural Relevance rating: 5
There are no particular cultural issues that I could see.