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1.Pattern Recognition and Machine Learning (Information Science and Statistics) by: Christopher M. Bishop
February 01, 2008
Average Rating:  out of 5 stars

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Books : Pattern Recognition and Machine Learning (Information Science and Statistics)
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..don't like the writing style. Fewer equations and more explanations would have made it a better book.


2.Pattern Classification, Second Edition: 1 (A Wiley-Interscience publication) by: Richard O. Duda, Peter E. Hart, David G. Stork
November 21, 2001
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Books : Pattern Classification, Second Edition: 1 (A Wiley-Interscience publication)
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I find this book extremely well written, for me I managed to get though a degree in Maths without doing any Statistics and I have found this a fantastic introduction to the area but also moving on to very interesting topics. What I really like is that the explanations and proofs are thorough and do not hand wave, but it's also possible to get the bigger picture just skimming though. When you get over bogged down in the proof and theory and the hands wave over your head in comes the power punch of this book, well prepared well laid out examples. In my opinion a damn good buy. I intend to read cover to cover and back again.

3.Body Sensor Networks from: Springer-Verlag London Ltd
May 15, 2006
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Books : Body Sensor Networks
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I find this book extremely well written, for me I managed to get though a degree in Maths without doing any Statistics and I have found this a fantastic introduction to the area but also moving on to very interesting topics. What I really like is that the explanations and proofs are thorough and do not hand wave, but it's also possible to get the bigger picture just skimming though. When you get over bogged down in the proof and theory and the hands wave over your head in comes the power punch of this book, well prepared well laid out examples. In my opinion a damn good buy. I intend to read cover to cover and back again.

4.Semantic Multimedia and Ontologies: Theory and Applications from: Springer-Verlag London Ltd
January 18, 2008
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Books : Semantic Multimedia and Ontologies: Theory and Applications
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I find this book extremely well written, for me I managed to get though a degree in Maths without doing any Statistics and I have found this a fantastic introduction to the area but also moving on to very interesting topics. What I really like is that the explanations and proofs are thorough and do not hand wave, but it's also possible to get the bigger picture just skimming though. When you get over bogged down in the proof and theory and the hands wave over your head in comes the power punch of this book, well prepared well laid out examples. In my opinion a damn good buy. I intend to read cover to cover and back again.

5.Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-centric Systems and Applications) by: Bing Liu
December 12, 2006
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Books : Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-centric Systems and Applications)
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I find this book extremely well written, for me I managed to get though a degree in Maths without doing any Statistics and I have found this a fantastic introduction to the area but also moving on to very interesting topics. What I really like is that the explanations and proofs are thorough and do not hand wave, but it's also possible to get the bigger picture just skimming though. When you get over bogged down in the proof and theory and the hands wave over your head in comes the power punch of this book, well prepared well laid out examples. In my opinion a damn good buy. I intend to read cover to cover and back again.

6.An Introduction to Support Vector Machines and Other Kernel-based Learning Methods by: Nello Cristianini, John Shawe-Taylor
March 23, 2000
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Books : An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
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Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

7.Signal Processing Methods for Music Transcription from: Springer-Verlag New York Inc.
June 20, 2006
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Books : Signal Processing Methods for Music Transcription
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Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

8.Pattern Recognition: Human and Mechanical by: Satosi Watanabe
September 04, 1985
Average Rating:  out of 5 stars

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Books : Pattern Recognition: Human and Mechanical
Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

9.Digital Halftoning by: Ulichney
January 01, 1987
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Books : Digital Halftoning
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Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

10.Statistical Methods in Counterterrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication from: Springer-Verlag New York Inc.
July 13, 2006
Average Rating:  out of 5 stars

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Books : Statistical Methods in Counterterrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication
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Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

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