{'fraction_non_alphanumeric': 0.025349650349650348, 'fraction_numerical': 0.0, 'mean_word_length': 4.6683168316831685, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Review of The Geometry of Uncertainty by Fabio Cuzzolin

The Geometry of Uncertainty is unlike any book on mathematics and computer science I've ever read. It's certainly not a textbook in the traditional sense - there are no exercises, and very little is presented as the "right way" to do something. In many ways, The Geometry of Uncertainty is like a survey paper: it critically analyzes decades of research and while some of the author's preferences are reflected, many perspectives are presented with little direct guidance about which approach ought to be favored. People have long used the phrase "The Bible of X" to describe the most well-known or well-respected text in a field. However, calling The Geometry of Uncertainty "The Bible of Evidence Theory" is truly apt in the sense that you come into the book with questions, and you leave the book with parables, historical insight, and a whole host of new, better informed questions. Truly, the book is not merely an introduction to belief function theory, it is instead a truly comprehensive view of an entire field of study from its conception up to the most bleeding edge research.