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📚 *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

These are affiliate links, so buying through them helps support the channel at no extra cost to you — thanks 🙏

*Summary*
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In this video, we explore the differences between the covariance and the correlation. In short, the covariance tells us the direction of the relationship between two random variables (positive or negative), while the correlation measures both the strength and direction of the relationship between two random variables.

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