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Kernel Trick Can Be Dangerous

Understand the potential risks of applying the kernel trick in machine learning algorithms. Learn how choosing an unsuitable kernel can lead to overfitting or underfitting and how model complexity in feature space affects generalization. This lesson guides you through selecting and validating kernels to balance model flexibility and performance effectively.

The use of the kernel trick seems very effective and efficient. Although not every machine learning algorithm can be reformulated to incorporate kernels, but many ...