"Pattern Recognition and Machine Learning" by Christopher M. Bishop is a comprehensive textbook published by Springer New York in 2006. This book covers a wide range of topics in computer science, psychology, and mathematics, focusing on subjects such as probability, artificial intelligence, cognitive psychology, and computer vision. This hardcover book provides an in-depth exploration of pattern recognition and machine learning techniques, making it a valuable resource for students and professionals in the field.
| Brand | Unbranded |
| Country Of Origin | United States |
| ISBN | 9780387310732 |
| Publisher | Springer New York |
| Item Length | 9.3 in |
| Publication Year | 2006 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 0.7 in |
| Author | Christopher M. Bishop |
| Item Weight | 75.7 Oz |
| Item Width | 7 in |
| Number Of Pages | Xx, 778 Pages |
You will find that this unbranded textbook is a straightforward choice for anyone on a budget.
