4 Support Vector Machines (SVM): Fundamentals and Applications

Explore the fundamentals of Support Vector Machines (SVM) in this in-depth lesson. Learn how SVMs are used in machine learning for classification and regression tasks.
Introduction to the concept of support vectors
Mathematical foundations of SVM
Linear vs. nonlinear classifiers
Kernel functions and their applications
SVM for classification and regression
Hyperparameter tuning and model selection
Real-world examples using SVMs
Advantages and limitations of SVM in machine learning
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