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Support vector machine (SVM) : theory.
- Format:
- Video
- Series:
- Sage research methods.
- Machine Learning for Data Science ; 20.
- Machine Learning for Data Science ; 20
- Language:
- English
- Subjects (All):
- Support vector machines.
- Regression analysis.
- Physical Description:
- 1 online resource (1 video file (01:03:44)) : sound, colour.
- Place of Publication:
- Somerset : Chirag Shah, 2018.
- Language Note:
- Closed-captions in English.
- Summary:
- Dr. Chirag Shah, PhD, explains the basics behind support vector machines, including the creation of linear and nonlinear hyper-planes to separate data points, support vector classifiers, soft-margin classifiers, and finally using kernels to classify data non-linearly.
- Participant:
- Academic, Chirag Shah PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526469236 (streaming video) :
- OCLC:
- 1091273001
- Access Restriction:
- Restricted for use by site license.
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