Support vector machine (SVM) : theory.
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.
Saved in:
Online Access: |
Streaming Video (via SAGE) |
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Other Authors: | |
Format: | Electronic Video |
Language: | English |
Published: |
Somerset :
Chirag Shah,
2018.
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Series: | Machine Learning for Data Science ;
20. |
Subjects: |
Internet
Streaming Video (via SAGE)Online
Call Number: |
Q325.5 .S87 2018
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Q325.5 .S87 2018 | Available |