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Perspectives, comparisons and case studies from data science and analytics.
Learning tips8 September 20265 min read
An embedding is just a vector
"It captures the meaning of a word" tells you nothing you can act on. The mechanical version: a row of a matrix, looked up by an integer.
Read →PerspectiveLearning tips
Learning tips25 August 20267 min read
What PCA is actually doing to your data
Most explanations stop at "it reduces dimensions." Here is the mechanism, the feature-selection confusion, and the cost nobody mentions.
Read →Perspective15 August 202610 min read
Your Correlation Matrix Is Not Feature Selection
Dropping one of every pair above 0.8 is the most common ritual in applied regression — and it misses the multicollinearity that actually breaks your model.
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