Certificate in Understanding Support Vector Machines
-- ViewingNowThe Certificate in Understanding Support Vector Machines is a comprehensive course designed to provide learners with a solid understanding of Support Vector Machines (SVMs), a popular and powerful machine learning algorithm. This course covers the theory, implementation, and practical applications of SVMs in various industries.
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โข Introduction to Support Vector Machines (SVM)
โข Linear SVM: Theory and Implementation
โข Kernel Trick: Extending SVM to Non-linear Data
โข Types of Kernels in SVM: Polynomial, Gaussian, and Radial Basis Function
โข Optimization Techniques for Training SVM
โข Multi-class SVM: One-vs-One and One-vs-All Approaches
โข Evaluation Metrics for SVM: Accuracy, Precision, Recall, and F1 Score
โข Real-world Applications of SVM
โข Case Studies and Projects using SVM
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