- PVSM.RU - https://www.pvsm.ru -
Ранее мы говорили о разработке [2] системы квантовой связи и о том, как из простых студентов готовят [3] продвинутых программистов. Сегодня мы решилие еще раз (1 [4], 2 [5]) взглянуть в сторону темы машинного обучения и привести адаптированную (источник [6]) подборку полезных материалов, обсуждавшихся на Stack Overflow и Stack Exchange.
Генетические алгоритмы
Классификация
Линейная регрессия
Логистическая регрессия
Проверка модели с помощью повторной выборки
Глубокое обучение
Нейронные сети прямого распространения
Обработка естественного языка
Метод опорных векторов
Деревья решений
Случайный лес
Алгоритмы бустинга деревьев
Композиционное обучение
Размерность Вапника — Червоненкиса
Автор: Университет ИТМО
Источник [79]
Сайт-источник PVSM.RU: https://www.pvsm.ru
Путь до страницы источника: https://www.pvsm.ru/mashinnoe-obuchenie/112732
Ссылки в тексте:
[1] Image: http://habrahabr.ru/company/spbifmo/blog/277511/
[2] разработке: https://habrahabr.ru/company/spbifmo/blog/269127/
[3] готовят: https://habrahabr.ru/company/spbifmo/blog/275071/
[4] 1: https://habrahabr.ru/company/spbifmo/blog/271027/
[5] 2: https://habrahabr.ru/company/spbifmo/blog/276479/
[6] источник: https://github.com/ujjwalkarn/Machine-Learning-Tutorials
[7] SO:: http://stackoverflow.com/questions/1402370/when-to-use-genetic-algorithms-vs-when-to-use-neural-networks
[8] SO:: http://stackoverflow.com/questions/3819977/what-are-the-differences-between-genetic-algorithms-and-genetic-programming
[9] SO:: http://stackoverflow.com/questions/2595176/when-to-choose-which-machine-learning-classifier
[10] SE:: http://stats.stackexchange.com/questions/52089/what-does-having-constant-variance-in-a-linear-regression-model-mean/52107?stw=2#52107
[11] SE:: http://stats.stackexchange.com/questions/22718/what-is-the-difference-between-linear-regression-on-y-with-x-and-x-with-y?lq=1
[12] SE:: http://stats.stackexchange.com/questions/58141/interpreting-plot-lm
[13] SE:: http://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot?lq=1
[14] SE:: http://stats.stackexchange.com/questions/76226/interpreting-the-residuals-vs-fitted-values-plot-for-verifying-the-assumptions
[15] SE:: http://stats.stackexchange.com/questions/175/how-should-outliers-be-dealt-with-in-linear-regression-analysis
[16] SE:: http://stats.stackexchange.com/questions/25389/obtaining-predicted-values-y-1-or-0-from-a-logistic-regression-model-fit
[17] SE:: http://stats.stackexchange.com/questions/1432/what-do-the-residuals-in-a-logistic-regression-mean
[18] SE:: http://stats.stackexchange.com/questions/20523/difference-between-logit-and-probit-models#30909
[19] SE:: http://stats.stackexchange.com/questions/3559/which-pseudo-r2-measure-is-the-one-to-report-for-logistic-regression-cox-s
[20] SE:: http://stats.stackexchange.com/questions/8511/how-to-calculate-pseudo-r2-from-rs-logistic-regression
[21] SE:: http://stackoverflow.com/questions/13536537/partitioning-data-set-in-r-based-on-multiple-classes-of-observations
[22] SE:: http://stackoverflow.com/questions/22972854/how-to-implement-a-hold-out-validation-in-r
[23] SE:: http://stats.stackexchange.com/questions/11602/training-with-the-full-dataset-after-cross-validation
[24] SE:: http://stats.stackexchange.com/questions/103459/how-do-i-know-which-method-of-cross-validation-is-best
[25] SE:: http://stats.stackexchange.com/questions/31190/variance-estimates-in-k-fold-cross-validation
[26] SE:: http://stats.stackexchange.com/questions/18856/is-cross-validation-a-proper-substitute-for-validation-set
[27] SE:: http://stats.stackexchange.com/questions/27730/choice-of-k-in-k-fold-cross-validation
[28] SE:: http://stats.stackexchange.com/questions/102631/k-fold-cross-validation-of-ensemble-learning
[29] SE:: http://stats.stackexchange.com/questions/9053/how-does-cross-validation-overcome-the-overfitting-problem
[30] SE:: http://stats.stackexchange.com/questions/26088/explaining-to-laypeople-why-bootstrapping-works
[31] SE:: http://stats.stackexchange.com/questions/14516/understanding-bootstrapping-for-validation-and-model-selection?rq=1
[32] SE:: http://stats.stackexchange.com/questions/18348/differences-between-cross-validation-and-bootstrapping-to-estimate-the-predictio
[33] SE:: http://stats.stackexchange.com/questions/71184/cross-validation-or-bootstrapping-to-evaluate-classification-performance
[34] SO:: http://stackoverflow.com/questions/22909197/creating-folds-for-k-fold-cv-in-r-using-caret
[35] SO:: http://stackoverflow.com/questions/2976452/whats-is-the-difference-between-train-validation-and-test-set-in-neural-networ
[36] SO:: http://stackoverflow.com/questions/478947/what-are-some-good-resources-for-learning-about-artificial-neural-networks
[37] SO:: http://stackoverflow.com/questions/tagged/neural-network?sort=votes&pageSize=50
[38] SO:: http://stackoverflow.com/questions/2480650/role-of-bias-in-neural-networks
[39] SO:: http://stackoverflow.com/questions/3345079/estimating-the-number-of-neurons-and-number-of-layers-of-an-artificial-neural-ne
[40] SO:: http://stackoverflow.com/questions/10565868/multi-layer-perceptron-mlp-architecture-criteria-for-choosing-number-of-hidde?lq=1
[41] SO:: http://stackoverflow.com/questions/9436209/how-to-choose-number-of-hidden-layers-and-nodes-in-neural-network/2
[42] SO:: http://stackoverflow.com/questions/15395835/simple-multi-layer-neural-network-implementation
[43] SE:: http://datascience.stackexchange.com/questions/199/what-does-the-alpha-and-beta-hyperparameters-contribute-to-in-latent-dirichlet-a
[44] SO:: http://stackoverflow.com/questions/8196371/how-clustering-works-especially-string-clustering
[45] SO:: http://stackoverflow.com/questions/21511801/text-clustering-with-levenshtein-distances
[46] SE:: http://stats.stackexchange.com/questions/tagged/svm
[47] SE:: http://stats.stackexchange.com/questions/3947/help-me-understand-support-vector-machines
[48] SE:: http://stats.stackexchange.com/questions/23391/how-does-a-support-vector-machine-svm-work
[49] SE:: http://stats.stackexchange.com/questions/57438/why-is-svm-not-so-good-as-decision-tree-on-the-same-data
[50] SE:: http://stats.stackexchange.com/questions/43996/kernel-logistic-regression-vs-svm
[51] SE:: http://stats.stackexchange.com/questions/58684/regularized-logistic-regression-and-support-vector-machine
[52] SE:: http://stats.stackexchange.com/questions/95340/svm-v-s-logistic-regression
[53] SE:: https://www.quora.com/Support-Vector-Machines/What-is-the-difference-between-Linear-SVMs-and-Logistic-Regression
[54] SE:: http://stats.stackexchange.com/questions/2179/variable-importance-from-svm
[55] SE:: http://stats.stackexchange.com/questions/5196/why-use-platts-scaling
[56] SO:: http://stackoverflow.com/questions/6699222/support-vector-machines-better-than-artificial-neural-networks-in-which-learn?rq=1
[57] SO:: http://stackoverflow.com/questions/11632516/what-are-advantages-of-artificial-neural-networks-over-support-vector-machines
[58] SE:: http://stats.stackexchange.com/questions/1292/what-is-the-weak-side-of-decision-trees
[59] SE:: http://stats.stackexchange.com/questions/96025/how-do-decision-tree-learning-algorithms-deal-with-missing-values-under-the-hoo
[60] SE:: http://stats.stackexchange.com/questions/12187/are-decision-trees-almost-always-binary-trees
[61] SE:: http://stats.stackexchange.com/questions/6581/what-is-deviance-specifically-in-cart-rpart
[62] SO:: https://stackoverflow.com/questions/9979461/different-decision-tree-algorithms-with-comparison-of-complexity-or-performance
[63] SO:: http://stackoverflow.com/questions/15318409/how-to-prune-a-tree-in-r
[64] SO:: http://stackoverflow.com/questions/8675664/how-to-extract-tree-structure-from-ctree-function
[65] SO:: http://stackoverflow.com/questions/1859554/what-is-entropy-and-information-gain
[66] SE:: http://stats.stackexchange.com/questions/12605/measures-of-variable-importance-in-random-forests
[67] SE:: http://stats.stackexchange.com/questions/13869/compare-r-squared-from-two-different-random-forest-models
[68] SE:: http://stats.stackexchange.com/questions/98953/why-doesnt-random-forest-handle-missing-values-in-predictors
[69] SE:: http://stats.stackexchange.com/questions/21152/obtaining-knowledge-from-a-random-forest
[70] SE:: http://stats.stackexchange.com/questions/81609/whether-preprocessing-is-needed-before-prediction-using-finalmodel-of-randomfore
[71] SO:: http://stackoverflow.com/questions/8370455/how-to-build-random-forests-in-r-with-missing-na-values
[72] SO:: http://stackoverflow.com/questions/20537186/getting-predictions-after-rfimpute
[73] SE:: http://stats.stackexchange.com/questions/16501/what-does-interaction-depth-mean-in-gbm
[74] SE:: http://stats.stackexchange.com/questions/30645/role-of-n-minobsinnode-parameter-of-gbm-in-r
[75] SE:: http://stats.stackexchange.com/questions/27361/stacking-ensembling-models-with-caret
[76] SE:: http://stats.stackexchange.com/questions/18891/bagging-boosting-and-stacking-in-machine-learning
[77] SE:: http://stats.stackexchange.com/questions/32703/resources-for-learning-how-to-implement-ensemble-methods
[78] SE:: http://stats.stackexchange.com/questions/78076/do-ensemble-techniques-increase-vc-dimension
[79] Источник: https://habrahabr.ru/post/277511/
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