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Understanding extended perceptron

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#machine-learning
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why do we need regularization when there is a lot of data

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#machine-learning #maximum-likelihood #regularization #logistic-regression
2.6k
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Showing that all Kernel functions are symmetric

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#functions #lagrange-multiplier #machine-learning
1.6k
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VC dimension of linear decision surface

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#geometry #machine-learning
91
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'ordered' set of rules

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#logic #machine-learning #decision-trees
594
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Why do negative logic gates require a bias in neural networks?

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#machine-learning #binary-operations #neural-networks
853
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Is it possible to model the XOR gate using a 2-2-1 network with no activation function?

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#machine-learning #neural-networks
313
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Find the very first feasible solution (critical point nearest to initial point in constrained optimization)

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#optimization #machine-learning #gradient-descent #non-convex-optimization
29
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Tiny bandwidth function cannot be approximated by a combination of high bandwidth functions

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#multivariable-calculus #reference-request #machine-learning
2.6k
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Why use the kernel trick in an SVM as opposed to just transforming the data?

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#regression #machine-learning #neural-networks
112
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What are some of the common techniques for density estimation?

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#probability #statistics #machine-learning #parameter-estimation
228
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Deriving cost function using MLE

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#machine-learning #maximum-likelihood
213
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Ridge Regression: Unit Matrix (Hoerl and Kennard 1970)

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#regression #machine-learning #least-squares
989
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Submodularity of Mutual Information

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#combinatorics #proof-writing #machine-learning #information-theory
3.4k
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Feature scaling's effect on gradient descent

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#machine-learning #gradient-descent

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