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Lecture
Solutions to Kernel Exercises
Description
This lecture revisits the exercise on using the homogenous polynomial kernel to draw iso lines for one and two data points, discussing the impact of the hyperparameter on the lines. It then explores how the kernel divides the space based on the data points' alignment and the importance of centering the data in kernel PCA.
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