Executive Development Programme in Support Vector Machine Applications
-- ViewingNowExecutive Development Programme in Support Vector Machine Applications In the era of big data, machine learning has become a crucial tool for businesses seeking to harness the power of data-driven decision making. This certificate course in Support Vector Machine (SVM) Applications is designed to equip learners with essential skills in this highly sought-after area.
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โข Introduction to Support Vector Machines (SVM)
โข Understanding Linear and Nonlinear SVM
โข SVM Kernel Functions: Polynomial and Radial Basis Functions
โข Optimization Techniques in SVM: Lagrangian and Quadratic Programming
โข SVM Implementation in Python and R
โข Real-world Applications of SVM: Image Classification and Text Mining
โข Multi-class SVM: One-vs-One and One-vs-Rest Approaches
โข Evaluating SVM Performance: Metrics and Model Selection
โข Tuning SVM Hyperparameters: Grid Search and Cross-Validation
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