L9: Kernel principal component analysis | non-linear dimensionality reduction with the kernel trick
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L9: Kernel principal component analysis | non-linear dimensionality reduction with the kernel trick
Welcome to Lecture 9 of the course "Machine Learning Techniques" by Prof. Arun Rajkumar. Full Course: https://study.iitm.ac.in/ds/course_pages/BSCS2007.html Video Overview This lecture dives into Kernel Principal Component Analysis (Kernel PCA), a powerful technique for dimensionality reduction when dealing with non-linear data. We'll explore ...
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