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Group 9 Support Vector Machine by 蘇旻羿 is a document available to read on EtoBox.
What is Group 9 Support Vector Machine about?
The document discusses the application of Support Vector Machines (SVM) in factor investing, covering classification and regression techniques. It explains key concepts such as hyperplanes, support vectors, margins, slack variables, and the use of kernels for nonlinear models. The document also outlines the optimization problem and the role of parameters in tuning the model
- Author
- 蘇旻羿
- Language
- EN