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poissonisfish.com
| | sportscidata.com
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| | Recently Dan Weaving and the research group at Leeds Beckett University put out a paper outlining how to perform a type of dimension reduction on training load data: principal component analysis (PCA). The benefit of such an analysis is it can reduce a large number of metrics into a more manageable dataset. This may uncover...
| | statsandr.com
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| | Learn how to run multiple and simple linear regression in R, how to interpret the results and how to verify the conditions of application
| | sebastianraschka.com
4.0 parsecs away

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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | michael-lewis.com
23.2 parsecs away

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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.