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Mathematics for Machine Learning
From my notesCurrently reading
The useful part is not memorizing another catalogue of formulas; it is learning to move between the geometry, the algebra, and the probabilistic story of the same model.
A focused bridge between undergraduate mathematics and modern machine learning, covering linear algebra, analytic geometry, matrix decompositions, probability, optimization, and the models built on top of them.
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