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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods 1st Edition
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Top Customer Reviews
I think this book is good if you:
* Have a strong mathematical background
* Work in the specific domain of SVM (or kernel-based methods in general)
* Want to write a research paper about SVM and need the correct notations
However, this book is NOT intended for people who:
* Don't like to read theorems, corollaries and remarks
* Are not interested in reading hundreds of proofs
This is my personal opinion as a computer scientist: this book is definitely written for mathematicians.
The book is clear and concise in it's development of the theory of SVMs, and is thorough in going through all relevant background material. Particularly useful is the section optimisation which is usually missing from statistical and computer science backgrounds.
Beware that this book is not for the mathematically shy. If you want to learn about SVMs and don't mind getting your teeth stuck into some serious (applied) maths, then this book is for you.
The biggest drawback of this book is that it does not meet the needs of the many non-mathematically inclined who are interested in SVM's. It uses the academic euphemism 'introduction' to mean 'brutally advanced, but if I called it that, no one would buy it'. One of the reviewers was expecting an actual introduction, and was disappointed.
Lastly, the author makes mention that you can read the book out of order. Here's the order that I read: chapter 1, chapter 2, chapter 5, chapter 3, chapter 6, chapter 4, chapter 8, and then chapter 7. I think this order gave me enough background information and motivated me to delve into the mathematical theory. I just want finish up by saying that if you're looking for a support vector implementation guide this is certainly not for you.
Most Recent Customer Reviews
I'm currently an undergraduate in computer science and math at a Cal State university, and I found this book to be both complete and accessible. Read morePublished on May 23, 2011 by Jeremy Kun
I wrote my review of this book on the ai forum.
You can see my write up there at the link below:
I liked the book overall.
Oh Puhleeeezzzzz... How is your vector math??? Remember your linear algebra well? Do you have a background in SVM's? Read morePublished on March 20, 2004 by Amazon Customer
I just happened to read the reviews on the book on Support vector machines by Nello Cristianini and John Shawe-Taylor. Could not resist adding my own comments about the book. Read morePublished on November 18, 2003 by Benny Raphael