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Item #:
206073373
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
86% of respondents would recommend this to a friend
Item #:
206073373
GTQ 499
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Product Details
- This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software make it an ideal starting point for further study.
| Publisher | Cambridge University Press |
| Publication date | March 28, 2000 |
| Edition | 1st |
| Language | English |
| Print length | 204 pages |
| ISBN-10 | 0521780195 |
| ISBN-13 | 978-0521780193 |
| Item Weight | 1.1 pounds (500 grams) |
| Dimensions | 7.25 x 0.75 x 10.25 inches (18.4 x 1.9 x 26 cm) |
Who Should Buy?
-
Data Scientists
Ideal for data scientists who want to understand SVMs and kernel methods for advanced data analysis and modeling.
-
Machine Learning Students
Great for students learning machine learning concepts, providing foundational knowledge of SVMs and kernel techniques.
-
AI Researchers
Useful for researchers exploring sophisticated learning algorithms and seeking to enhance their work with kernel-based methods.
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Beginners in Programming
Not suitable for beginners lacking programming or mathematical skills, as it requires understanding of advanced concepts.
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