ujjwalkarn-Machine-Learning-Tutorials.frankenstein

Found: master for ujjwalkarn/Machine-Learning-Tutorials — machine learning and deep learning tutorials, articles and other resources  — 93⭐️  — last updated today
🔎  Checking 476 links
⚪  http://karpathy.github.io/
⚪  http://colah.github.io/
⚪  http://andland.github.io/
⚪  http://karpathy.github.io/neuralnets/
⚪  https://apaszke.github.io/torch-internals.html
⚪  http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/
⚪  http://karpathy.github.io/2015/05/21/rnn-effectiveness/
⚪  http://svail.github.io/
⚪  http://colah.github.io/posts/2015-08-Understanding-LSTMs/
⚪  https://apaszke.github.io/lstm-explained.html
⚪  http://avisingh599.github.io/deeplearning/visual-qa/
⚪  http://cs231n.github.io/
⚪  https://github.com/cs231n/cs231n.github.io
⚪  http://alexperrier.github.io/jekyll/update/2015/09/16/segmentation_twitter_timelines_lda_vs_lsa.html
⚪  http://alexperrier.github.io/jekyll/update/2015/09/04/topic-modeling-of-twitter-followers.html
⚪  http://amunategui.github.io/blending-models/
✅  http://datasciencemasters.org/
✅  http://stats.stackexchange.com/questions/tagged/machine-learning
✅  https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg
✅  https://en.wikipedia.org/wiki/List_of_machine_learning_concepts
🔴  403 https://www.quora.com/What-are-some-Machine-Learning-algorithms-that-you-should-always-have-a-strong-understanding-of-and-why
✅  https://github.com/sindresorhus/awesome
✅  https://www.psych.umn.edu/faculty/waller/classes/FA2010/Readings/rodgers.pdf
✅  https://github.com/sindresorhus/awesome
✅  http://www.slideshare.net/pierluca.lanzi/presentations
✅  https://github.com/okulbilisim/awesome-datascience
✅  https://github.com/prakhar1989/awesome-courses#machine-learning
✅  https://github.com/fasouto/awesome-dataviz
✅  https://github.com/josephmisiti/awesome-machine-learning
🔴  403 https://www.quora.com/How-can-a-computer-science-graduate-student-prepare-himself-for-data-scientist-machine-learning-intern-interviews
🔴  403 https://www.quora.com/How-do-I-learn-machine-learning-1
🔴  403 https://www.quora.com/topic/Data-Science-Interviews/faq
🔴  403 https://www.quora.com/What-are-the-key-skills-of-a-data-scientist
✅  https://github.com/pedrosan/TheAnalyticsEdge
✅  https://github.com/owainlewis/awesome-artificial-intelligence
✅  http://www.ted.com/playlists/310/talks_on_artificial_intelligen
✅  https://en.wikipedia.org/wiki/Genetic_algorithm
✅  http://www.stat.cmu.edu/~larry/=sml/
✅  http://www.dataschool.io/learning-data-science-fundamentals/
✅  http://outlace.com/Simple-Genetic-Algorithm-in-15-lines-of-Python/
✅  http://www.ai.mit.edu/courses/6.867-f04/lectures.html
✅  http://www.dataschool.io/comparing-supervised-learning-algorithms/
✅  http://outlace.com/Simple-Genetic-Algorithm-Python-Addendum/
✅  https://medium.com/@nomadic_mind/new-to-machine-learning-avoid-these-three-mistakes-73258b3848a4#.lih061l3l
🔴  403 https://www.quora.com/Whats-the-difference-between-Genetic-Algorithms-and-Genetic-Programming
✅  http://stackoverflow.com/questions/3819977/what-are-the-differences-between-genetic-algorithms-and-genetic-programming
✅  http://stackoverflow.com/questions/1402370/when-to-use-genetic-algorithms-vs-when-to-use-neural-networks
✅  https://en.wikipedia.org/wiki/Genetic_programming
✅  https://courses.edx.org/courses/BerkeleyX/CS188x_1/1T2013/info
✅  https://github.com/trevorstephens/gplearn
✅  http://onlinestatbook.com/2/index.html
✅  http://stattrek.com/
✅  http://stattrek.com/tutorials/matrix-algebra-tutorial.aspx
✅  http://stattrek.com/tutorials/statistics-tutorial.aspx
✅  http://stattrek.com/tutorials/ap-statistics-tutorial.aspx
✅  http://stattrek.com/sampling/sampling-distribution.aspx
✅  https://github.com/rouseguy/intro2stats
✅  http://www.ai-junkie.com/ga/intro/gat1.html
✅  http://onlinestatbook.com/2/advanced_graphs/q-q_plots.html
✅  https://en.wikipedia.org/wiki/Goodness_of_fit
✅  http://www.dataschool.io/
✅  http://yanirseroussi.com/
✅  http://blog.echen.me/
✅  https://speakerdeck.com/jakevdp/statistics-for-hackers
✅  http://alexminnaar.com/
✅  https://www.physicsforums.com/threads/what-is-an-unbiased-estimator.547728/
✅  http://outlace.com/
✅  http://varianceexplained.org/
✅  http://www.ai-junkie.com/
✅  http://mlwave.com/
🔴  403 https://www.quora.com/topic/Machine-Learning/writers
🔴  403 https://www.quora.com/Data-Science
✅  http://trevorstephens.com/
🔴  403 https://www.quora.com/William-Chen-6/answers
✅  http://simplystatistics.org/
🔴  403 https://www.quora.com/Ricardo-Vladimiro-1/answers
🔴  403 https://www.quora.com/Michael-Hochster/answers
✅  http://fastml.com/
🔴  403 https://www.quora.com/topic/Data-Science/faq
🔴  403 https://datastories.quora.com/
🔴  403 https://www.quora.com/topic/Machine-Learning/faq
✅  http://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/
✅  http://alexminnaar.com/tag/kaggle-competitions.html
✅  http://blog.kaggle.com/
✅  http://blog.kaggle.com/2015/10/05/grasp-and-lift-eeg-detection-winners-interview-3rd-place-team-hedj/
✅  http://stackoverflow.com/questions/2595176/when-to-choose-which-machine-learning-classifier
✅  http://stats.stackexchange.com/questions/6581/what-is-deviance-specifically-in-cart-rpart
✅  http://www.win-vector.com/blog/2015/02/does-balancing-classes-improve-classifier-performance/
🔴  403 https://www.quora.com/What-are-the-advantages-of-different-classification-algorithms
✅  https://github.com/soulmachine/machine-learning-cheat-sheet
✅  http://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf
✅  http://pareonline.net/getvn.asp?n=2&v=8
✅  http://mlwave.com/predicting-click-through-rates-with-online-machine-learning/
✅  http://www.dataschool.io/roc-curves-and-auc-explained/
✅  https://ccrma.stanford.edu/workshops/mir2009/references/ROCintro.pdf
✅  http://www.dataschool.io/simple-guide-to-confusion-matrix-terminology/
✅  http://r4stats.com/
✅  http://stats.stackexchange.com/questions/16381/what-is-a-complete-list-of-the-usual-assumptions-for-linear-regression
✅  http://stats.stackexchange.com/questions/52089/what-does-having-constant-variance-in-a-linear-regression-model-mean/52107?stw=2#52107
✅  http://www.wzchen.com/probability-cheatsheet/
✅  http://stats.stackexchange.com/questions/22718/what-is-the-difference-between-linear-regression-on-y-with-x-and-x-with-y?lq=1
✅  http://jonlefcheck.net/2012/12/28/dealing-with-multicollinearity-using-variance-inflation-factors/
✅  http://www.dataschool.io/applying-and-interpreting-linear-regression/
✅  http://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot?lq=1
✅  http://stats.stackexchange.com/questions/58141/interpreting-plot-lm
✅  http://stats.stackexchange.com/questions/76226/interpreting-the-residuals-vs-fitted-values-plot-for-verifying-the-assumptions
✅  https://en.wikipedia.org/wiki/Multicollinearity
✅  http://www.researchgate.net/post/Is_linear_regression_valid_when_the_outcome_dependant_variable_not_normally_distributed
✅  http://stats.stackexchange.com/questions/175/how-should-outliers-be-dealt-with-in-linear-regression-analysis
✅  https://web.stanford.edu/~hastie/Papers/elasticnet.pdf
✅  http://stats.stackexchange.com/questions/25389/obtaining-predicted-values-y-1-or-0-from-a-logistic-regression-model-fit
✅  http://stats.stackexchange.com/questions/1432/what-do-the-residuals-in-a-logistic-regression-mean
✅  http://stats.stackexchange.com/questions/20523/difference-between-logit-and-probit-models#30909
✅  https://en.wikipedia.org/wiki/Logistic_regression
✅  http://www.ats.ucla.edu/stat/mult_pkg/faq/general/Psuedo_RSquareds.htm
✅  http://stats.stackexchange.com/questions/8511/how-to-calculate-pseudo-r2-from-rs-logistic-regression
✅  http://stats.stackexchange.com/questions/3559/which-pseudo-r2-measure-is-the-one-to-report-for-logistic-regression-cox-s
✅  https://en.wikipedia.org/wiki/Elastic_net_regularization
✅  https://en.wikipedia.org/wiki/Logistic_regression
✅  https://en.wikipedia.org/wiki/Probit_model
✅  http://people.duke.edu/~rnau/regintro.htm
✅  http://florianhartl.com/logistic-regression-geometric-intuition.html
✅  http://stats.stackexchange.com/questions/11602/training-with-the-full-dataset-after-cross-validation
✅  http://stackoverflow.com/questions/22972854/how-to-implement-a-hold-out-validation-in-r
✅  http://stackoverflow.com/questions/13536537/partitioning-data-set-in-r-based-on-multiple-classes-of-observations
✅  http://www.gettinggeneticsdone.com/2011/02/split-data-frame-into-testing-and.html
✅  http://stats.stackexchange.com/questions/103459/how-do-i-know-which-method-of-cross-validation-is-best
✅  http://stats.stackexchange.com/questions/31190/variance-estimates-in-k-fold-cross-validation
✅  http://stats.stackexchange.com/questions/18856/is-cross-validation-a-proper-substitute-for-validation-set
✅  http://stats.stackexchange.com/questions/27730/choice-of-k-in-k-fold-cross-validation
✅  http://stats.stackexchange.com/questions/102631/k-fold-cross-validation-of-ensemble-learning
✅  http://ai.stanford.edu/~ang/papers/cv-final.pdf
✅  http://stackoverflow.com/questions/22909197/creating-folds-for-k-fold-cv-in-r-using-caret
✅  http://stats.stackexchange.com/questions/9053/how-does-cross-validation-overcome-the-overfitting-problem
✅  http://stats.stackexchange.com/questions/26088/explaining-to-laypeople-why-bootstrapping-works
🔴  404 https://en.wikipedia.org/wiki/Resampling_(statistics
✅  http://www.chioka.in/tag/cross-validation/
🔴  404 https://en.wikipedia.org/wiki/Cross-validation_(statistics
✅  http://www.jmlr.org/papers/volume11/cawley10a/cawley10a.pdf
✅  http://stats.stackexchange.com/questions/18348/differences-between-cross-validation-and-bootstrapping-to-estimate-the-predictio
✅  http://stats.stackexchange.com/questions/71184/cross-validation-or-bootstrapping-to-evaluate-classification-performance
✅  http://stats.stackexchange.com/questions/14516/understanding-bootstrapping-for-validation-and-model-selection?rq=1
✅  http://deeplearning4j.org/documentation.html
🔴  404 https://en.wikipedia.org/wiki/Bootstrapping_(statistics
✅  http://ufldl.stanford.edu/tutorial/
✅  http://devblogs.nvidia.com/parallelforall/understanding-natural-language-deep-neural-networks-using-torch/
✅  https://github.com/ChristosChristofidis/awesome-deep-learning
✅  http://statistics.about.com/od/Applications/a/Example-Of-Bootstrapping.htm
🔴  403 https://www.quora.com/topic/Deep-Learning/faq
✅  http://cs224d.stanford.edu/reports.html
✅  http://cs224d.stanford.edu/
✅  https://github.com/rouseguy/intro2deeplearning
✅  http://www.kdnuggets.com/2014/05/learn-deep-learning-courses-tutorials-overviews.html
✅  https://www.stat.auckland.ac.nz/~wild/BootAnim/
✅  https://plus.google.com/communities/112866381580457264725
✅  http://devblogs.nvidia.com/parallelforall/deep-learning-nutshell-core-concepts/
✅  https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu
✅  http://www.autonlab.org/tutorials/overfit10.pdf
✅  http://devblogs.nvidia.com/parallelforall/deep-learning-nutshell-core-concepts/
✅  https://speakerdeck.com/bargava/introduction-to-deep-learning
✅  http://www.kdnuggets.com/2015/10/top-arxiv-deep-learning-papers-explained.html
✅  http://deeplearning4j.org/
✅  https://www.youtube.com/watch?v=IcOMKXAw5VA
✅  http://videolectures.net/deeplearning2015_montreal/
✅  http://ufldl.stanford.edu/tutorial/supervised/MultiLayerNeuralNetworks/
✅  http://alexminnaar.com/deep-learning-basics-neural-networks-backpropagation-and-stochastic-gradient-descent.html
✅  http://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks
✅  http://stackoverflow.com/questions/2976452/whats-is-the-difference-between-train-validation-and-test-set-in-neural-networ
✅  http://stackoverflow.com/questions/478947/what-are-some-good-resources-for-learning-about-artificial-neural-networks
✅  http://stackoverflow.com/questions/tagged/neural-network?sort=votes&pageSize=50
✅  http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-gpus-part-2/
✅  http://deeplearning.net/tutorial/index.html
✅  http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-gpus-part-3/
✅  http://deeplearning.net/2014/11/22/recent-reddit-amas-about-deep-learning/
✅  https://www.reddit.com/r/IAmA/comments/3mdk9v/we_are_google_researchers_working_on_deep/
✅  https://www.udacity.com/course/intro-to-artificial-intelligence--cs271
✅  http://deeplearning4j.org/compare-dl4j-torch7-pylearn.html
✅  http://deeplearning.net/software_links/
✅  http://deeplearning.net/reading-list/
✅  http://deeplearning.net/software_links/
✅  http://deeplearning.net/
✅  http://deeplearning.net/software/theano/
✅  http://outlace.com/Beginner-Tutorial-Theano/
✅  http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-with-gpus/
✅  http://deeplearning.net/software/theano/tutorial/
✅  http://deeplearning.net/tutorial/logreg.html#logreg
✅  http://deeplearning.net/tutorial/mlp.html#mlp
✅  http://deeplearning.net/tutorial/lenet.html#lenet
✅  http://devblogs.nvidia.com/parallelforall/deep-speech-accurate-speech-recognition-gpu-accelerated-deep-learning/
✅  http://deeplearning.net/tutorial/rnnslu.html#rnnslu
✅  http://deeplearning.net/tutorial/lstm.html#lstm
🔴  404 https://en.wikipedia.org/wiki/Theano_(software
✅  http://deeplearning.net/tutorial/rbm.html#rbm
✅  http://deeplearning.net/tutorial/DBN.html#dbn
✅  http://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/
✅  http://www.teglor.com/b/deep-learning-libraries-language-cm569/
✅  http://code.madbits.com/wiki/doku.php
✅  http://torch.ch/
✅  https://github.com/lisa-lab/DeepLearningTutorials
✅  http://devblogs.nvidia.com/parallelforall/understanding-natural-language-deep-neural-networks-using-torch/
✅  http://devblogs.nvidia.com/parallelforall/deep-learning-computer-vision-caffe-cudnn/
✅  http://fastml.com/torch-vs-theano/
✅  https://github.com/torch/tutorials
✅  https://github.com/chetannaik/learning_torch
✅  https://github.com/carpedm20/awesome-torch
🔴  405 http://tensorflow.org/
✅  http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/
✅  https://github.com/oxford-cs-ml-2015
✅  https://github.com/torch/torch7/wiki/Cheatsheet
✅  http://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/
✅  http://stackoverflow.com/questions/2480650/role-of-bias-in-neural-networks
✅  http://stackoverflow.com/questions/3345079/estimating-the-number-of-neurons-and-number-of-layers-of-an-artificial-neural-ne
✅  https://github.com/chetannaik/learning_tensorflow
✅  https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
✅  http://stackoverflow.com/questions/10565868/multi-layer-perceptron-mlp-architecture-criteria-for-choosing-number-of-hidde?lq=1
✅  https://github.com/dennybritz/nn-from-scratch
✅  https://github.com/dennybritz/nn-theano
✅  http://stackoverflow.com/questions/15395835/simple-multi-layer-neural-network-implementation
✅  http://www.autonlab.org/tutorials/neural13.pdf
✅  https://takinginitiative.wordpress.com/2008/04/03/basic-neural-network-tutorial-theory/
✅  http://www.ai-junkie.com/ann/evolved/nnt6.html
✅  http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
✅  http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/
✅  http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial-part-3-backpropagation-through-time-and-vanishing-gradients/
✅  https://github.com/soumith/convnet-benchmarks/issues/66
✅  https://github.com/kjw0612/awesome-rnn
✅  http://deeplearning4j.org/recurrentnetwork.html
✅  https://github.com/dennybritz/rnn-tutorial-rnnlm/
✅  http://deeplearning4j.org/lstm.html
✅  https://github.com/karpathy/char-rnn
✅  http://hackaday.com/2015/10/15/73-computer-scientists-created-a-neural-net-and-you-wont-believe-what-happened-next/
✅  http://outlace.com/Simple-Recurrent-Neural-Network/
✅  http://larseidnes.com/2015/10/13/auto-generating-clickbait-with-recurrent-neural-networks/
✅  http://www.slideshare.net/indicods/general-sequence-learning-with-recurrent-neural-networks-for-next-ml
✅  https://gist.github.com/karpathy/d4dee566867f8291f086
✅  http://deeplearning4j.org/lstm.html
✅  http://www.codeproject.com/Articles/16419/AI-Neural-Network-for-beginners-Part-of
✅  http://neuralniche.com/post/tutorial/
✅  http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/
✅  http://emnlp2014.org/papers/pdf/EMNLP2014179.pdf
✅  http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
✅  http://deeplearning.net/tutorial/lstm.html#lstm
✅  https://github.com/MattVitelli/GRUV
✅  http://home.agh.edu.pl/~vlsi/AI/backp_t_en/backprop.html
✅  https://github.com/dennybritz/rnn-tutorial-gru-lstm
✅  http://devblogs.nvidia.com/parallelforall/understanding-natural-language-deep-neural-networks-using-torch/
✅  https://github.com/karpathy/char-rnn
✅  https://github.com/avisingh599/visual-qa
✅  http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/
✅  https://github.com/apaszke/kaggle-grasp-and-lift
✅  http://deeplearning4j.org/recursiveneuraltensornetwork.html
✅  http://blog.echen.me/2011/07/18/introduction-to-restricted-boltzmann-machines/
✅  http://deeplearning4j.org/restrictedboltzmannmachine.html
✅  http://deeplearning4j.org/zh-sentiment_analysis_word2vec.html
✅  http://deeplearning.net/tutorial/rbm.html
✅  http://googleresearch.blogspot.ch/2015/09/google-voice-search-faster-and-more.html
✅  https://en.wikipedia.org/wiki/Recursive_neural_network
✅  http://googleresearch.blogspot.in/2015/11/computer-respond-to-this-email.html
✅  http://deeplearning4j.org/deepbeliefnetwork.html
✅  http://deeplearning4j.org/zh-sentiment_analysis_word2vec.html
✅  http://deeplearning4j.org/deepautoencoder.html
✅  http://deeplearning.net/tutorial/dA.html
✅  https://web.stanford.edu/class/cs294a/sparseAutoencoder.pdf
✅  http://deeplearning.net/tutorial/code/dA.py
✅  https://github.com/zachmayer/rbm
✅  http://cs.stanford.edu/people/karpathy/convnetjs/
✅  http://vision.stanford.edu/teaching/cs231n/
✅  http://deeplearning.net/tutorial/SdA.html#sda
✅  http://deeplearning4j.org/convolutionalnets.html
✅  http://ml.informatik.uni-freiburg.de/_media/teaching/ws1415/presentation_dl_lect3.pdf
✅  http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/
✅  http://devblogs.nvidia.com/parallelforall/understanding-natural-language-deep-neural-networks-using-torch/
✅  http://deeplearning.net/2015/09/30/long-short-term-memory-dramatically-improves-google-voice-etc-now-available-to-a-billion-users/
✅  http://cs224d.stanford.edu/reports.html
✅  https://www.cs.toronto.edu/~hinton/absps/guideTR.pdf
✅  http://cs224d.stanford.edu/
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✅  http://videolectures.net/stephen_j_wright/

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