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Minimization problem and LASSO regression

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#statistics #regression #machine-learning
161
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How to represent convolution matrix as a string diagram?

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#category-theory #machine-learning #monoidal-categories
583
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Pattern Recognition and Machine Learning Exercise

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#linear-algebra #matrices #machine-learning #pattern-recognition
76
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Exponentially weighted averages graph (Exponential smoothing)

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#statistics #optimization #machine-learning
725
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Estimating Lipchitz constant for functions with Lipschitz continuous gradient

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#convex-analysis #convex-optimization #nonlinear-optimization #machine-learning #lipschitz-functions
334
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Gradient Descent Update Rule

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#ordinary-differential-equations #derivatives #optimization #vector-analysis #machine-learning
971
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Minimizing function of a random variable; MLE over random parameters

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#optimization #random-variables #machine-learning #maximum-likelihood
1.5k
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Consider a binary classifier and Gaussian conditional distribution, with mean and covariance matrix. Find the decision boundary. More details below.

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#probability #normal-distribution #machine-learning #bayesian
751
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What are the good books to learn Expectation (Probability) in order to learn theoretical machine learning?

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#probability #probability-theory #machine-learning
48
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From test statistics to datasets

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#statistics #statistical-inference #machine-learning #simulation
67
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How can I split an ordered set of data by a classification for purity?

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#machine-learning
72
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Shrinking size of search space using only conjunctions in machine learning

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#combinatorics #machine-learning #searching
18
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Can standardisation of predictors make SVM regression perform worse?

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#statistics #machine-learning
583
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Step in PCA proof - invariance of trace operator and orthogonality

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#linear-algebra #machine-learning #trace #orthogonal-matrices
1.2k
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Gradient and Hessian for use in Newton's Method with regularization term

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#vector-analysis #regression #machine-learning #newton-raphson #hessian-matrix

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