Kernel Trick Explained for ML & Data Science 📊

📚 *RECOMMENDED BOOKS TO START WITH MACHINE LEARNING*
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If you're new to ML, here are the 3 best books I recommend (I've personally read all of these):
1. Hands-On Machine Learning – the go-to practical ML guide: https://amzn.to/3UcGqSS
2. Mathematics for Machine Learning – deep dive into the theoretical aspects of ML: https://amzn.to/3IZgHe7
3. Designing Machine Learning Systems - practical strategies for building scalable ML solutions: https://amzn.to/4ojEqFX

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*Summary*
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The kernel trick enables machine learning algorithms to operate in high-dimensional spaces without explicitly computing transformed feature vectors.

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