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unorde.red | ||
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blog.omega-prime.co.uk
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| | | | | The most fundamental technique in statistical learning is ordinary least squares (OLS) regression. If we have a vector of observations \(y\) and a matrix of features associated with each observation \(X\), then we assume the observations are a linear function of the features plus some (iid) random noise, \(\epsilon\): | |
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github.com
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| | | | | Kotlin to JavaScript/HTML5 implementation of an N-Body simulator. - ccampo133/NBodyJS | |
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labs.steren.fr
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neptune.ai
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| | | Industry expert shares strategies for improving the performance of ML/DL systems, covering optimization, model selection, and data handling. | ||
