The book written by Andrew Webb is certainly the most comprehensive book related to machine learning. I have not been able to find any machine learning topic which is not treated in this book. According to me, this book is more for a scientific audience for the simplest reason that the presentation
Statistical pattern recognition
โ Scribed by Andrew R. Webb
- Publisher
- Wiley
- Year
- 2002
- Tongue
- English
- Leaves
- 504
- Edition
- 2nd ed
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundamental to the study of pattern recognition.Statistical Pattern Recognition, Second Edition has been fully updated with new methods, applications and references. It provides a comprehensive introduction to this vibrant area - with material drawn from engineering, statistics, computer science and the social sciences - and covers many application areas, such as database design, artificial neural networks, and decision support systems.
๐ SIMILAR VOLUMES
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficie
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.ย It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining,
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.ย It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining,
<span>Book by Chen, C. H</span>