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KL divergence between two multivariate Bernoulli distribution

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#statistics #probability-distributions #machine-learning #information-theory
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Can someone explain the calculus within this gradient descent function?

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#derivatives #machine-learning #gradient-descent
141
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Gaussian Processes Regression with multiple input frequencies

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#regression #machine-learning
114
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Kernel functions for vectors in discrete spaces

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#functional-analysis #hilbert-spaces #machine-learning
185
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Estimate $P(A_1|A_2 \cup A_3 \cup A_4...)$, given $P(A_i|A_j)$

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#probability #statistics #machine-learning
2.8k
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Relationship between Training Neural Networks and Calculus of Variations

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#calculus-of-variations #machine-learning
785
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How does maximum a posteriori estimation (MAP) differs from maximum likelihood estimation (MLE)

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#probability #statistics #machine-learning #maximum-likelihood
750
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To find the new weights of an error function by minimizing it

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#linear-algebra #derivatives #machine-learning #error-function
166
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How to calculate Vapnik-Chervonenkis dimension?

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#machine-learning
41
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maximize a posteriori

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#discrete-mathematics #optimization #machine-learning
33
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Retrain of a neural network

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#mathematical-modeling #machine-learning #neural-networks
286
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Why does k-fold cross validation generate an MSE estimator that has higher bias, but lower variance then leave-one-out cross-validation?

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#machine-learning #sampling
1.6k
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How does the classification using the 0-1 loss matrix method work?

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#probability #matrices #statistics #machine-learning
102
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How is the expression for Bias-Variance obtained?

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#statistics #machine-learning #variance
15.1k
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How to get the loss function derivative

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#partial-derivative #machine-learning

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