Sometimes a book can be too wordy; as here. In addition, there's a lot of repetition – intended, presumably, to aid reinforcement – which I found more confusing than helpful. There's an art to concision, and this tome could do with some serious editing.

The exercises are good for reinforcement, although I think they would have provided more benefit within the text during the early chapters instead of concentrated at the end. (Also, the associated code is rather messy; not that R is the most expressive of languages.)

Part I (chapters 1 thru 5) provides a great start to the topic up to introducing Bayes' Rule. Things start to begin to wobble with Part II chapter 6, which introduces the Benoulli distribution and the Beta function. I had to go to another text to make sense of the content and what it was trying to impart. Someone with some familiarity of these topics might have been less befuddled. Similarly, chapter 7 on Markov Chain Monte Carlo started out well, then dumped a lot of info over more that 40 pages before the exercises offered some relief and an opportunity to try and make sense of what had come before.

The text has an odd mixture of writing. Sometimes it's verbose like an introductory book, then it makes unexplained leaps into mathematics with little or no explanation that leave you scratching your head.

Subsequent chapters to above (the remaining 550 pages!) made more use of code within the text, which was a marked improvement.

Overall, not a bad book by any means. Just too many words! ( )