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Proximal Operator for the Logistic Loss Function

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#linear-algebra #convex-optimization #machine-learning #logistic-regression #proximal-operators
164
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Does the Information Gain algorithm favor a high-entropy attribute or a low-entropy one?

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#probability #statistics #information-theory #machine-learning #entropy
1.2k
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Proof of Variance of the Irreducible Error

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#machine-learning #variance
4.9k
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Tricky proof of a result of Michael Nielsen's book "Neural Networks and Deep Learning".

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#calculus #multivariable-calculus #optimization #machine-learning #neural-networks
128
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Geometric Probability Function on real Dataset

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#probability #machine-learning
935
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Inference on a factor graph (Sum-product Algorithm)

Published on
#statistics #graph-theory #information-theory #machine-learning #bayesian
912
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The mathematics behind AlphaGo AI and Google Deepmind

Published on
#reference-request #machine-learning #artificial-intelligence
468
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Why is it so hard to translate some proves into machine-readable form?

Published on
#logic #soft-question #machine-learning #proof-theory #turing-machines
167
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Intuitively, why does squaring a loss function change optimal values?

Published on
#optimization #nonlinear-optimization #machine-learning
84
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How to show that the signal $x_n = A\cos(\omega n)$ can be fully predicted by a system with two weights $w_1,w_2$

Published on
#numerical-methods #signal-processing #machine-learning
162
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Machine Learning - global minima and convexity in gradient descent

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#calculus #machine-learning
579
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Understanding linear separability

Published on
#algorithms #machine-learning
355
Views

Regression With Additive Gaussian Noise

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#probability #machine-learning #linear-regression
2.4k
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Solving vectors such that the dot product = 0

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#linear-algebra #machine-learning #cross-product
550
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Getting a feel for the Normal-Inverse-Wishart conjugate prior to multivariate normal distribution

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#statistics #machine-learning #bayesian #data-analysis #sampling

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