Title
An Introduction To Support Vector Machines And Other Kernelbased Learning Methods
Delivery time: 8-12 business days (International)
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 Selfcontained 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.
By changing our most important processes and
products, we have already made a big leap forward. This ranges from the
increased use of more sustainable fibers to the use of more
environmentally friendly printing processes to the development of
efficient waste management in our value chain.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.
Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.
Related Products
You may also like
Frequently Asked Questions
- Q: What is the main focus of 'An Introduction to Support Vector Machines'? A: The book primarily focuses on Support Vector Machines (SVMs) and other kernel-based learning methods, providing a comprehensive introduction to these advanced statistical learning techniques.
- Q: Who is the author of the book? A: The book is authored by Nello Cristianini, who is known for his expertise in statistical learning theory.
- Q: What is the condition of the book? A: The book is listed as 'New', ensuring that it is in pristine condition for readers.
- Q: How many pages does the book have? A: The book contains a total of 204 pages.
- Q: What type of binding does the book have? A: This edition of the book is bound in hardcover, providing durability for frequent use.
- Q: When was the book published? A: The book was published on March 28, 2000.
- Q: Is this book suitable for beginners? A: Yes, the book is designed to be both stimulating and accessible, making it suitable for students and beginners in the field.
- Q: Does the book include practical applications of SVMs? A: Yes, the book guides practitioners smoothly through the theory and its applications, providing real-world context.
- Q: What edition of the book is available? A: The available edition is the first edition of the book.
- Q: Are there any resources for further study included? A: Yes, the book provides pointers to relevant literature and websites that contain software, making it an ideal starting point for further study.