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Maximising the variance in PCA - Trace Proof

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#matrices #machine-learning #orthogonality #trace #principal-component-analysis
98
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Deriving the gradient of a multivariable function taking matrices as input?

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#linear-algebra #multivariable-calculus #solution-verification #machine-learning #gradient-descent
72
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Error minimization for machine learning

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#linear-algebra #probability #probability-distributions #machine-learning
2k
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subdifferential of ReLU function composition with affine function

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#functions #derivatives #machine-learning #subgradient
30
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Algorithm for Weighted Geospatial Clustering

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#algorithms #machine-learning #data-analysis #clustering #data-mining
332
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Question about VC-dimension

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#geometry #statistics #machine-learning #computational-geometry
29
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Can we derive bound for the subgradient of stochastic convex function from the bound for the subgradient of its sample function?

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#probability-theory #convex-analysis #convex-optimization #machine-learning #subgradient
399
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Variance of a Random Forest

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#statistics #proof-writing #machine-learning #variance
31
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If x is one of the K nearest neighbors of y in a dataset, is y one of the K nearest neighbors of x?

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#vector-spaces #vectors #machine-learning
28
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SVD based method for predicting missing values in future experiments

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#linear-algebra #machine-learning #svd
154
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k-NN average distance bound

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#statistics #machine-learning #pattern-recognition
105
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How to fit an exponential curve to data?

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#machine-learning #regression #data-analysis
698
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Explanation of marginal likelihood in Gaussian process

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#probability-distributions #normal-distribution #machine-learning #regression #bayesian
34
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Geometrical interpretation of conditions

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#linear-algebra #machine-learning
2k
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Why does multicollinearity cause the standard errors of the coefficients to go up?

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#statistics #machine-learning

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