Certificate in Mastering Support Vector Machines
-- ViewingNowThe Certificate in Mastering Support Vector Machines is a comprehensive course that focuses on the theory and practical application of Support Vector Machines (SVM), a powerful supervised machine learning algorithm. This certification is crucial in today's data-driven world, where businesses are seeking professionals who can effectively analyze and interpret complex data.
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โข Introduction to Support Vector Machines (SVMs)
โข Understanding Linear and Nonlinear SVMs
โข Maximal Margin Classifier and SVM Formulation
โข Kernel Trick in SVMs: Polynomial and Radial Basis Functions
โข Soft Margin and Multi-class SVMs
โข Solving SVMs with Lagrangian Duality and Quadratic Programming
โข Implementing SVMs using Libraries: LIBSVM, Scikit-learn, and TensorFlow
โข Evaluation Metrics for SVMs: Precision, Recall, F1-score, and ROC Curve
โข Real-world Applications of SVMs: Image Classification, Text Analysis, and Bioinformatics
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