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Different penalty for support vector machine

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#machine-learning
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Why are kernel methods with RBFs effective for handwritten digits (letters) classification?

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#machine-learning
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Making sense of 1-dimensional data

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#statistics #machine-learning
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Machine learning: beginner study material.

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#reference-request #self-learning #machine-learning
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Rank-$1$ update for Cholesky factor

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#linear-algebra #matrices #machine-learning #cholesky-decomposition
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gradient of vector 2-norm

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#matrices #multivariable-calculus #machine-learning #matrix-calculus
162
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Factor graphs: HMM

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#probability #markov-chains #machine-learning
41
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basic analytical set of tools -- integration, differentiation, convergence and handling of applied maths equations

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#analysis #intuition #applications #machine-learning
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Is the Support Vector Classifier in some sense optimal?

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#statistics #optimization #machine-learning
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What is the sample space, outcomes, event space, random variables in machine learning?

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#probability #machine-learning
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Scaling data into $[-1,1]$

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#statistics #regression #machine-learning #data-analysis #data-mining
122
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Gaussian Discriminant Analysis

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#algorithms #soft-question #self-learning #machine-learning
980
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Why the largest eigenvalue is the bound?

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#linear-algebra #matrices #eigenvalues-eigenvectors #machine-learning #vectors
132
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machine learning optimization

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#optimization #convex-optimization #machine-learning
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Linear discriminant analysis - Properties of weight vectors and decision surfaces

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#linear-algebra #machine-learning

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