Lectures related to Kernel Trick: Understanding Machine Learning

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Covers statistical inference, machine learning, SVMs for spam classification, email preprocessing, and feature extraction.

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Covers Principal Component Analysis for dimensionality reduction, exploring its applications, limitations, and importance of choosing the right components.