This book came to me at the exact right time in my life for me to be able to appreciate it the most. I hadn't read much about Bayes previously, but my work has started to veer towards a direction in which I felt knowing more probability and stats would be useful. I have a background in engineering, so now that I am equipped with an intuitive understanding of what Bayes' theorem says, and what sorts of problems it can be applied to, I'm well placed to read further into the nitty-gritty of what I've read in order to apply this to my work.
I loved that this book wasn't written exclusively about the mathematics itself, but featured biographical elements of Bayes' life, places the story in a well fleshed-out historical setting, and shares anecdotes about the applications and development of the theorem.
Probably the most notes I've taken on a book in a long time.
This book came to me at the exact right time in my life for me to be able to appreciate it the most. I hadn't read much about Bayes previously, but my work has started to veer towards a direction in which I felt knowing more probability and stats would be useful. I have a background in engineering, so now that I am equipped with an intuitive understanding of what Bayes' theorem says, and what sorts of problems it can be applied to, I'm well placed to read further into the nitty-gritty of what I've read in order to apply this to my work.
I loved that this book wasn't written exclusively about the mathematics itself, but featured biographical elements of Bayes' life, places the story in a well fleshed-out historical setting, and shares anecdotes about the applications and development of the theorem.
Probably the most notes I've taken on a book in a long time.