“Pattern Recognition and Machine Learning” by Christopher M. Bishop is a comprehensive textbook in the field of information science and statistics, specifically focused on computer science, mathematics, and probability & statistics. The book covers topics such as intelligence (AI) & semantics, as well as computer vision & pattern recognition. It is part of the Information Science and Statistics series by Springer New York and is written in English, making it accessible to a wide audience of students and professionals in the field. With a trade paperback format and dimensions of 10 inches in length and 7 inches in width, this textbook offers a valuable resource for those looking to deepen their understanding of pattern recognition and machine learning techniques.