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regarding the concept of infinite long vector and function

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#probability #stochastic-processes #machine-learning #bayesian #gaussian
17
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reduce the dimensionality of multidimentional Gaussian process

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#multivariable-calculus #stochastic-processes #machine-learning #gaussian
78
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Backpropagation derivation- chain rule expansion

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#calculus #machine-learning #chain-rule #neural-networks
91
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What is the meaning of $\Bbb E$?

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#notation #expected-value #machine-learning
77
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How can I find the gradient of a non linear SVM wrt input?

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#machine-learning #gradient-descent #subgradient
32
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Smoothness of the function

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#convex-optimization #machine-learning #smooth-functions
85
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The proof of random fourier features

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#machine-learning
95
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Proximal Mapping of $L^1$ and $L^2$ norm

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#optimization #machine-learning #gradient-descent #proximal-operators
26
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Can anyone explain how does the likelihood function of different model came?

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#machine-learning #parameter-estimation #linear-regression #logistic-regression #log-likelihood
2.2k
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R ConfusionMatrix Error: `data` and `reference` should be factors with the same levels.

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#machine-learning #regression
73
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generalizing linear separability and the perceptron algorithm

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#inequality #euclidean-geometry #machine-learning #noneuclidean-geometry
36
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Gradient of summation involving max function

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#linear-algebra #multivariable-calculus #machine-learning
103
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Graphoid axioms properties doesn't make sense to me.

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#probability-theory #machine-learning #bayesian-network #causality
482
Views

Prove there is a formula $\phi(x,z)$ of VC dimension $\kappa$ and dual VC dimension $2^\kappa$

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#combinatorics #logic #model-theory #machine-learning #computational-geometry
85
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Kullback Leibler Divergence Property

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#probability #statistics #stochastic-processes #machine-learning #information-theory

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