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Applying KKT conditions

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#optimization #convex-optimization #lagrange-multiplier #machine-learning #karush-kuhn-tucker
75
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Understanding the behavior of the trace in calculating the gradient

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#matrix-equations #machine-learning #trace
62
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From Ng video: Using feature normalization with polynomial regression

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#statistics #reference-request #optimization #regression #machine-learning
653
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Issue while deriving Hessian for Logistic Regression loss function with matrix calculus

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#calculus #matrices #derivatives #self-learning #machine-learning
574
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Derivation of Bellman equation for state value function V(s)

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#linear-algebra #machine-learning #expected-value
48
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Bayes Theorem and Diseases/Machines

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#machine-learning #bayes-theorem
38
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Question on derivation of probability proportion in Deep Learning Book

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#probability #machine-learning #regularization
1.2k
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Intuitive difference between cosine similarity and bilinear similarity

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#machine-learning #data-mining
443
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deriving the formula for multinomial linear regression

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#derivatives #normed-spaces #matrix-calculus #machine-learning #linear-regression
2.4k
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Linear Function: f(ax + by) = af(x) + bf(y) vs y = ax+b.

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#machine-learning
405
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The Bayes optimal predictor is optimal

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#probability-theory #measure-theory #machine-learning
1.2k
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How to map quadratic programming formulation to dual soft margin SVM

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#optimization #machine-learning #quadratic-programming
569
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An event with unit density still has zero information, despite not being an event that is guaranteed to occur.

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#probability-theory #random-variables #machine-learning #information-theory #density-function
534
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What does it mean to integrate a parameter vector?

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#integration #machine-learning
310
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No-free-lunch theorem and finite hypothesis class

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#optimization #machine-learning

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