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Why is there so little data-driven fluid dynamics research?

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#soft-question #numerical-linear-algebra #machine-learning #data-analysis #fluid-dynamics
31
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Minkowski distance to separate two classes

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#linear-algebra #machine-learning
369
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How to feed data into a polynomial basis function regression (unregularized) for degree n?

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#regression #machine-learning
167
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Difficulty Understanding the Last Step of Principal Component Analysis (PCA)

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#linear-algebra #statistics #eigenvalues-eigenvectors #machine-learning
765
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Bishop - Pattern Recognition & Machine Learning, Exercise 1.2

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#linear-algebra #transformation #machine-learning
1.7k
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Clarification of Textbook Explanation of Hessian Matrix, Directional Second Derivative, and Eigenvalues/Eigenvectors

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#multivariable-calculus #eigenvalues-eigenvectors #vector-analysis #machine-learning #hessian-matrix
65
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Unsure of how to proceed through Trace Property

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#linear-algebra #matrices #matrix-calculus #machine-learning #trace
703
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Bishop - Pattern Recognition & Machine Learning, Exercise 1.4

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#probability #machine-learning #density-function #pattern-recognition
52
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Designing perceptron for given problem

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#machine-learning #pattern-recognition
85
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Correct interpretation of the Bayesian rule when having a mix of (i) a joint and (ii) a conditional probability

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#machine-learning #bayesian #conditional-probability
88
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Can SVM hyperplane always separate data?

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#convex-optimization #machine-learning
43
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Convert a vector of distances to a normalized vector of similarities

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#statistics #machine-learning #convex-geometry #clustering #mahalanobis-distance
353
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Absolute sum of partitioned Rademacher variables

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#probability #combinatorics #machine-learning
443
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Proving convexity of the negative log complementary probability: $-\log\left(1 - \frac{\exp(x_i)}{ \sum_j \exp(x_j)}\right)$

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#statistics #convex-analysis #convex-optimization #machine-learning #non-convex-optimization
138
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Binary coding of Numbers with Minimum Hamming Distance

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#reference-request #machine-learning #coding-theory #binary

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