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15
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Kernels and finite maps

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#machine-learning #reproducing-kernel-hilbert-spaces
214
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Clarification regarding Parameter Estimation (Andriy Burkov's book)

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#statistical-inference #machine-learning #bayes-theorem
35
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Is it appropriate to use clustering to partition the dependent variable into separate datasets for a home price prediction model?

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#statistics #regression #machine-learning #data-analysis #clustering
1.2k
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how to show the K-nearest-neighbor density model is an improper distribution: Bishops 2.61

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#statistics #machine-learning
3.6k
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Policy gradient reinforcement learning for continuous state and action space

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#machine-learning #neural-networks #artificial-intelligence
1.2k
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Gradient Descent vs Lagrange Multipliers

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#optimization #convex-optimization #machine-learning #lagrange-multiplier #gradient-descent
767
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Gaussian complexity bound

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#probability-theory #machine-learning #upper-lower-bounds
69
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Compute component probabilities in EM-algorithm with log densities?

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#optimization #normal-distribution #machine-learning #floating-point #clustering
1k
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Doubt about how exactly was calculated this gradient descent cost function using Octave\MatLab. How is it exactly working?

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#matrices #matlab #machine-learning #gradient-descent #octave
123
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Finding the coordinates of points from Geometry matrix

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#geometry #machine-learning
29
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How is the continuous input probabalistic generative model derived from single class model?

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#statistics #machine-learning #bayesian
303
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Derive $ \frac{1}{1 + exp(-(\beta_0 + \beta_1x))} $ from conditional and total probabilities

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#machine-learning #conditional-probability #logistic-regression
172
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How do I prove that the SBAF activation function is not a probability density function?

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#integration #probability-distributions #definite-integrals #machine-learning
111
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Proof in Variational Gaussian Approximation

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#probability #analysis #statistics #fourier-analysis #machine-learning
23
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Suggestion for choosing (building) optimization function

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#convex-optimization #machine-learning

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