PAC Learning: Empirical Risk Minimization

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Supervised Learning: Classification Algorithms

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Supervised Learning Fundamentals

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Introduction to Machine Learning: Basics and Examples

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Introduction to Supervised Learning and Decision Theory

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Unsupervised Learning: Dimensionality Reduction

Explores unsupervised learning techniques for reducing dimensions in data, emphasizing PCA, LDA, and Kernel PCA.

Supervised Learning: Linear Regression

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