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evelinag.com | ||
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dm13450.github.io
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| | | | | Principal component analysis (PCA) reduces a dataset to its main components. When we apply it to a dataset of different currencies it helps us understand how each currency drives the overall portfolio and what currency might be a common factor. | |
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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... | |
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alexhwilliams.info
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| | | | | [AI summary] A technical blog post explaining the mathematical foundations of Principal Component Analysis (PCA), its various generalizations like Sparse and Non-negative Matrix Factorization, and practical considerations for choosing components and handling missing data. | |
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ljvmiranda921.github.io
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| | | VQGAN allows us to generate high-resolution images from text, and has now taken art Twitter by storm. Let me talk about how it works on a conceptual level in... | ||
