Title
An Introduction To Support Vector Machines And Other Kernelbased Learning Methods
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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.
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- Q: How many pages does this book have? A: This book has two hundred four pages. It's designed to provide a comprehensive introduction to Support Vector Machines.
- Q: What is the binding type of this book? A: The binding type of this book is hardcover. This makes it durable and suitable for long-term use.
- Q: What are the dimensions of the book? A: The dimensions of the book are seven and twenty-five hundredths inches in length, zero and seventy-five hundredths inches in width, and ten and twenty-five hundredths inches in height. These dimensions make it a convenient size for reading.
- Q: Who is the author of this book? A: The author of this book is Nello Cristianini. He is known for his expertise in statistical learning theory.
- Q: What is the main subject of the book? A: The main subject of the book is Support Vector Machines and other kernel-based learning methods. It serves as an introduction to these advanced statistical techniques.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It gradually introduces concepts in an accessible way, making it user-friendly for those new to the topic.
- Q: Can this book be used as a textbook? A: Yes, this book can be used as a textbook. Its comprehensive coverage and structured presentation make it ideal for academic settings.
- Q: What is the target audience for this book? A: The target audience for this book includes both students and practitioners of machine learning. It caters to a broad range of readers interested in statistical learning theory.
- Q: What are the key features of this book? A: The key features of this book include its comprehensive introduction to Support Vector Machines and its self-contained presentation of concepts. It is also noted as a used book in good condition.
- Q: What should I do if I receive a damaged book? A: If you receive a damaged book, you should contact the seller for a return or exchange. Most sellers provide customer support for such issues.
- Q: Is there a warranty on this book? A: No, there is typically no warranty on books. However, check the seller's return policy for any guarantees.
- Q: How should I store this book? A: You should store this book in a cool, dry place to prevent damage. Keeping it on a shelf upright will help maintain its shape.
- Q: Can I lend this book to someone? A: Yes, you can lend this book to someone. Just ensure it is returned in the same condition to maintain its quality.
- Q: Is there any software mentioned in the book? A: Yes, the book includes pointers to relevant literature and websites containing software related to Support Vector Machines. This can enhance your learning experience.
- Q: Does this book have any visual aids? A: The book may contain diagrams and figures to illustrate key concepts. This can help in understanding the material better.