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 evelinag.com
Christmas Carol and other eigenvectors
| | sebastianraschka.com
Predictive modeling, supervised machine learning, and pattern classification
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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).
| | alexhwilliams.info
Everything you did and didn't know about PCA ยท Its Neuronal
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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.
| | liorpachter.wordpress.com
What is principal component analysis? | Bits of DNA
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| | In the Jeopardy! game show contestants are presented with questions formulated as answers that requireanswers in the form questions. For example, if a contestant selects "Normality for $200&...
| | almostsuremath.com
Algebraic Probability - Almost Sure
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| The aim of this post is to motivate the idea of representing probability spaces as states on a commutative algebra. We will consider how this abstract construction relates directly to classical probabilities. In the standard axiomatization of probability theory, due to Kolmogorov, the central construct is a probability space $latex {(\Omega,\mathcal F,{\mathbb P})}&fg=000000$. This consists...