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pablormier.github.io | ||
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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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glowingpython.blogspot.com
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| | | | | Using regularization has many benefits, the most common are reduction of overfitting and solving multicollinearity issues. All of this is co... | |
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blog.evjang.com
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| | | | | JAX is a great linear algebra + automatic differentiation library for fast experimentation with and teaching machine learning. Here is a li... | |
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michael-lewis.com
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| | | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background. | ||
