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Structured Perceptron & Structured SVM
Understanding how Structured Perceptron and Structured SVM learn to predict structured outputs with interdependent components.
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Structured Prediction and Multiclass SVM
An in-depth yet intuitive walkthrough of structured prediction, covering sequence labeling, feature engineering, and scoring methods for complex outputs.
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Multiclass Classification with SVM
Learn how Support Vector Machines extend to multiclass classification with an intuitive breakdown of margin concepts, loss derivation, and the multiclass hinge loss formulation.
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Multiclass Logistic Regression & Multiclass Perceptron Algorithm
Learn the essentials of multiclass classification, focusing on logistic regression, perceptron algorithms, and efficient model building techniques.
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Multiclass Classification - Overview
Learn how One-vs-All and One-vs-One extend binary classification to multiclass problems, their key differences, and best use cases.