Professional Certificate in Support Vector Machines: Results-Oriented AI
-- ViewingNowThe Professional Certificate in Support Vector Machines (SVM) is a results-oriented AI course, designed to provide learners with essential skills for career advancement. SVM is a powerful supervised machine learning algorithm with various applications in industries such as finance, healthcare, and technology.
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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 Function (RBF)
โข Optimization Techniques in SVM: Quadratic Programming and Sequential Minimal Optimization (SMO)
โข Implementing SVM in Python with LIBSVM and Scikit-learn
โข Multi-class Classification with SVM
โข Evaluation Metrics for SVM: Precision, Recall, F1-score, and ROC Curve
โข Real-world Applications of SVM: Text Classification, Image Recognition, and Bioinformatics
โข Advanced SVM Techniques: Kernel Methods, Ensemble Learning, and Deep Learning with SVM
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