Neural Networks From Scratch
Understanding Learning Through Forward Propagation, Backpropagation, and Gradient Descent
Jun 22, 20267 min read14

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Understanding Learning Through Forward Propagation, Backpropagation, and Gradient Descent

Support Vector Machines (SVM) are among the most effective and widely used classification algorithms in machine learning. At its core, the SVM algorithm works by finding the optimal boundary—called a hyperplane—that best separates different classes i...

Boosting is one of the most widely used classes of algorithms in machine learning, applied globally to tackle a variety of complex problems. It involves combining multiple weak learners—typically simple models that perform just slightly better than r...
