Machines à vecteurs de support (classificateurs à vaste marge) | Support vector machines
- Description:
- This machine learning training explores the power and versatility of Support Vector Machines (SVMs), a class of models that employ mathematical optimization to find maximum margin hyperplanes for classification. The training comprises four notebooks: Regularization, Kernels, Deeper Understanding, and Noise Reduction.
- Van der Kolk, Jarno, , and Tayler, Felicity
- Contributor(s):
- Shea, Mary Catherine and Basmechi, Farinaz
- Source Repository:
- University of Ottawa Dataverse
- Series:
- Fichiers de préservation de la Série de tutoriels sur l’apprentissage-machine = Preservation files for The Machine Learning Tutorial Series
- Publisher(s):
- Borealis
- Access:
- Public
- URL:
- https://doi.org/10.5683/SP3/NTAUQT
- Publication date:
- 2024-10-10
- Subjects:
- Keywords:
- Identifier:
- https://doi.org/10.5683/SP3/NTAUQT
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