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Confused between different form of Bellman equations mentioned in different literatures

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#optimization #recursion #machine-learning #dynamic-programming
192
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eigenvalues and their analogy with frequency

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#eigenvalues-eigenvectors #machine-learning #reproducing-kernel-hilbert-spaces
95
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Stochastic Neighbor Embedding (SNE) - How to Understand the Cost Function of the Kullback Leibler (KL) Divergence

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#probability #optimization #machine-learning #divergence-operator
164
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Choosing sample points for polynomial regression to improve accuracy

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#regression #machine-learning
25
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Neuron model representation of a function f

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#optimization #nonlinear-optimization #machine-learning #neural-networks
2.8k
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How does this notation using theta mean a line or linear function?

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#notation #machine-learning
813
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Why does Andrew Ng use the form h(x) = Theta subscript 0 + Theta subscript 1 x instead of the more common slope-intercept form?

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#notation #machine-learning
767
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Probability and Statistics Books for Distributions and Introduction to Data Mining/Machine Learning

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#probability #statistics #book-recommendation #machine-learning #data-mining
243
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How to get equal distance planes from a plane

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#linear-algebra #3d #machine-learning #plane-geometry
99
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What is the meaning of subsampling level in machine learning/statistics?

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#statistics #machine-learning #sampling #learning #descriptive-statistics
46
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Representing a map of traffic as a matrix or vector

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#matrices #graph-theory #machine-learning
379
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How does the SMO algorithm for SVMs guarantee the KKT condition "primal feasibility"?

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#convex-optimization #machine-learning #duality-theorems #pattern-recognition
80
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Confidence Interval Standard Deviation Derivation from Mean (Tom Mitchell ML)

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#machine-learning #standard-deviation #means #confidence-interval
3.1k
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How to show that log likelihood function in logistic regression is concave?

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#calculus #optimization #machine-learning #logistic-regression
196
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How to read out the loss function in YOLO algorithm?

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#optimization #machine-learning

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