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www.depthfirstlearning.com | ||
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www.jeremykun.com
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| | | | | Machine learning is broadly split into two camps, statistical learning and non-statistical learning. The latter we've started to get a good picture of on this blog; we approached Perceptrons, decision trees, and neural networks from a non-statistical perspective. And generally "statistical" learning is just that, a perspective. Data is phrased in terms of independent and dependent variables, and statistical techniques are leveraged against the data. In this post we'll focus on the simplest example of thi... | |
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randorithms.com
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| | | | | The Taylor series is a widely-used method to approximate a function, with many applications. Given a function \(y = f(x)\), we can express \(f(x)\) in terms ... | |
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vladfeinberg.com
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| | | | | Sketching Algorithms for Matrix Preconditioning in Neural Network Optimization | |
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www.itsupportguides.com
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| | | Learn about file hashes, their importance in cybersecurity, and how they're used for verifying file integrity, detecting malware, and more. | ||
