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Determining posterior gaussian distribution having marginalised over hyperparameters.

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#machine-learning #bayesian
54
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Constructing a problem-specific loss function

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#statistics #machine-learning #neural-networks
363
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Hidden Markov Model and Viterbi algorithm: Understanding the Casino Problem?

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#probability-theory #markov-chains #machine-learning #bayesian-network
169
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Best possible distribution for solving maximum-likelihood for a staircase data?

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#probability #random-variables #machine-learning #maximum-likelihood
71
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General correlation between function with itself and other input data

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#statistics #multivariable-calculus #machine-learning #correlation
145
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Principal Component Analysis Summarization by the mean

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#statistics #machine-learning
10.5k
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What temperature of Softmax layer should I use during neural network training?

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#machine-learning #neural-networks
52.4k
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Logistic regression - Prove That the Cost Function Is Convex

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#machine-learning #logistic-regression
165
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Does linear regression form a subspace?

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#linear-algebra #statistics #regression #machine-learning
173
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How does Restricted Boltzmann Machine (RBM) try to model the distribution of data?

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#statistics #machine-learning #neural-networks
1.4k
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What is an example of a SVM kernel, where one implicitly uses an infinity-dimensional space?

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#linear-algebra #machine-learning
633
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Does the Markov Blanket of a node include the node itself?

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#graph-theory #machine-learning
162
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Meaning of "linear in the xi variables"

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#inequality #machine-learning
88
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Solving SVM classifier with two weight vectors

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#optimization #convex-optimization #machine-learning
36
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Expectation Maximization - question about the 2 different formulations of E-Step

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#statistics #conditional-expectation #machine-learning

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