MSc student in ML, Data Science and AI at Aalto University. I write about machine learning, statistics, and algorithms.
How mathematics hears which notes are hidden in a chord.
The geometry behind principal component analysis: how the covariance matrix encodes the shape of your data, and why eigenvectors are the natural axes to read it from.
Deriving the Kruskal-Wallis test from scratch, using a pain management trial to show where ANOVA falls short.
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