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| Management number | 37662342 | Release Date | 2026/01/11 | List Price | $152.73 | Model Number | 37662342 | ||
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This is a famous book by Vladimir Vapnik, who laid the theoretical foundation for Support Vector Machines (SVM).
Considered a seminal work in statistical learning theory, it is widely read by researchers and graduate students in machine learning, pattern recognition, and mathematical statistics.
It systematically explains the fundamentals of modern AI theory, including VC dimension and structural risk minimization.
Published by: Springer
Series: Statistics for Engineering and Information Science
Language: English
Number of pages: Approximately 250 pages
This text was written by generative AI.
There are no other listings, so the market price is unknown.
It was being sold on Amazon for approximately 30,000 yen with a 15% discount.
Price negotiations are possible.
| Category | Books > Nonfiction Books > Other Nonfiction Books |
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| Size | N/A |
| Brand | None |
| Condition | Good |
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