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Specifications
Publisher
Cambridge University Press
Language
English
ISBN-13
9780521780193
ISBN-10
0521780195
Author
Nello Cristianini | John Shawe-Taylor
Product Description
Here on GlowMirror, you'll find An Introduction to Support Vector Machines and Other Kernel-based Learning Methods filed under Cambridge University Press -- everything you need to know is covered below.
About the Book
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 pre…
ISBN: 9780521780193
Book Insights
What You'll Learn
·In-depth exploration of topics covered in An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
·Key concepts explained with clarity and practical examples
·Insights valuable for anyone studying or working in Cambridge University Press
Who Should Read This
Beginners and newcomers to the subject, as well as curious general readers.
Key Highlights
·Brand new physical book delivered across India
·15-day hassle-free return policy
Frequently Asked Questions
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods is available at ₹5,059 on GlowMirror. The original MRP is ₹10,827, saving you 53%.
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Is An Introduction to Support Vector Machines and Other Kernel-based Learning Methods available in English?
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods is available in English on GlowMirror.
Who is the author of An Introduction to Support Vector Machines and Other Kernel-based Learning Methods?
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods is authored by Nello Cristianini | John Shawe-Taylor.
Who published An Introduction to Support Vector Machines and Other Kernel-based Learning Methods?
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods is published by Cambridge University Press.
How many pages does An Introduction to Support Vector Machines and Other Kernel-based Learning Methods have?
Page count information for An Introduction to Support Vector Machines and Other Kernel-based Learning Methods is available in the specifications section of this page.
How long does it take to read An Introduction to Support Vector Machines and Other Kernel-based Learning Methods?
At an average reading speed of 250 words per minute, reading An Introduction to Support Vector Machines and Other Kernel-based Learning Methods takes a few hours to a few days depending on reading pace.
What is An Introduction to Support Vector Machines and Other Kernel-based Learning Methods about?
About the Book
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 ...
Is An Introduction to Support Vector Machines and Other Kernel-based Learning Methods suitable for beginners?
Whether An Introduction to Support Vector Machines and Other Kernel-based Learning Methods is suitable for beginners depends on your background in Cambridge University Press. Review the product description and specifications above for details on the target audience and difficulty level.
What edition is An Introduction to Support Vector Machines and Other Kernel-based Learning Methods?
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods is from the Cambridge University Press edition/year. Check the specifications section for full edition details.
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