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What does 'overfitting' (machine learning field) mean in linear algebra context?

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#linear-algebra #machine-learning
382
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Non-linear autoencoder versus linear autoencoder (PCA)

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#machine-learning
69
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Finding Marginalize the product of p(x|z,μ) and p(z|π)

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#probability #statistics #machine-learning #log-likelihood
68
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Linear algebra for computing gradient of cross-entropy loss

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#linear-algebra #numerical-methods #machine-learning
688
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how to find an equation representing a decision boundary in logistic regression

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#calculus #statistics #machine-learning #logistic-regression
299
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Help with differentiation chain rule with tensors in backpropagation

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#derivatives #tensors #machine-learning #chain-rule
115
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Why (multi marginal) optimal transport?

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#probability-theory #statistics #machine-learning #product-space #optimal-transport
307
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Calling a space a set - abuse of terminology?

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#vector-spaces #metric-spaces #terminology #machine-learning
32
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Why is there a discrepancy between the mathematical hypothesis formula and the actual implementation of it in linear regression?

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#linear-algebra #machine-learning #linear-regression
435
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Maximum KL-divergence between two discrete distributions with non-zero mass on each point of support.

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#statistics #probability-distributions #statistical-inference #machine-learning
38
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understanding equation from adversarial learning paper

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#machine-learning
202
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How to connect the gradient $dJ/W_i$ to $dJ/dW_{i-1}$

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#calculus #linear-algebra #multivariable-calculus #machine-learning #neural-networks
100
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If a neural network is a function f that maps x to y then is it correct to say that $f:R^x \rightarrow R^y$?

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#vector-spaces #real-numbers #machine-learning #neural-networks
803
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Bounds on successive steps of projected gradient descent

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#optimization #convex-optimization #machine-learning #numerical-optimization #gradient-descent
18.7k
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Derivative of Mean Squared Error

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#calculus #machine-learning #linear-regression #neural-networks

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