정보
- ISBN : 0387310738
- 출판사 : SPRINGER
- 출판일 : 20071001
- 저자 : Christopher M. Bishop
요약
● This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or …
THE DRAMATIC GROWTH IN PRACTICAL APPLICATIONS FOR MACHINE LEARNING OVER THE LAST TEN YEARS HAS BEEN ACCOMPANIED BY MANY IMPORTANT DEVELOPMENTS IN THE UNDERLYING ALGORITHMS AND TECHNIQUES. FOR EXAMPLE, BAYESIAN METHODS HAVE GROWN FROM A SPECIALIST NICHE TO BECOME MAINSTREAM…
Pattern Recognition and Machine Learning (Hardcover)
리뷰
5.0 이-희 기대됩니다 2016.09.09