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Interpreting plot.lm() in R	http://stats.stackexchange.com/questions/58141/interpreting-plot-lm
How to interpret a QQ plot?	http://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot?lq=1
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Elastic Net	https://en.wikipedia.org/wiki/Elastic_net_regularization
Regularization and Variable Selection via the Elastic Net	https://web.stanford.edu/~hastie/Papers/elasticnet.pdf
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Partioning data set in R	http://stackoverflow.com/questions/13536537/partitioning-data-set-in-r-based-on-multiple-classes-of-observations
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2	http://www.gettinggeneticsdone.com/2011/02/split-data-frame-into-testing-and.html
Bootstrapping	https://en.wikipedia.org/wiki/Bootstrapping_(statistics)
Why Bootstrapping Works?	http://stats.stackexchange.com/questions/26088/explaining-to-laypeople-why-bootstrapping-works
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Example of Bootstapping	http://statistics.about.com/od/Applications/a/Example-Of-Bootstrapping.htm
Understanding Bootstapping for Validation and Model Selection	http://stats.stackexchange.com/questions/14516/understanding-bootstrapping-for-validation-and-model-selection?rq=1
Cross Validation vs Bootstrap to estimate prediction error	http://stats.stackexchange.com/questions/18348/differences-between-cross-validation-and-bootstrapping-to-estimate-the-predictio
Cross-validation vs .632 bootstrapping to evaluate classification performance	http://stats.stackexchange.com/questions/71184/cross-validation-or-bootstrapping-to-evaluate-classification-performance
Introduction to Neural Machine Translation with GPUs (part 1)	http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-with-gpus/
Part 2	http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-gpus-part-2/
Part 3	http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-gpus-part-3/
Deep Speech: Accurate Speech Recognition with GPU-Accelerated Deep Learning	http://devblogs.nvidia.com/parallelforall/deep-speech-accurate-speech-recognition-gpu-accelerated-deep-learning/
How string clustering works	http://stackoverflow.com/questions/8196371/how-clustering-works-especially-string-clustering
Levenshtein distance for measuring the difference between two sequences	https://en.wikipedia.org/wiki/Levenshtein_distance
Text clustering with Levenshtein distances	http://stackoverflow.com/questions/21511801/text-clustering-with-levenshtein-distances
Classification Text with Bag of Words	http://fastml.com/classifying-text-with-bag-of-words-a-tutorial/
Language learning with NLP and reinforcement learning	http://blog.dennybritz.com/2015/09/11/reimagining-language-learning-with-nlp-and-reinforcement-learning/
Kaggle Tutorial Bag of Words and Word vectors	https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-1-for-beginners-bag-of-words
Part 2	https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-2-word-vectors
Part 3	https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-3-more-fun-with-word-vectors
What would Shakespeare say (NLP Tutorial)	https://gigadom.wordpress.com/2015/10/02/natural-language-processing-what-would-shakespeare-say/
A closer look at Skip Gram Modeling	http://homepages.inf.ed.ac.uk/ballison/pdf/lrec_skipgrams.pdf
xgboost tuning kaggle	https://www.kaggle.com/khozzy/rossmann-store-sales/xgboost-parameter-tuning-template/log
xgboost vs gbm	https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/13012/question-to-experienced-kagglers-and-anyone-who-wants-to-take-a-shot/68296#post68296
xgboost survey	https://www.kaggle.com/c/higgs-boson/forums/t/10335/xgboost-post-competition-survey
AdaBoost Wiki	https://en.wikipedia.org/wiki/AdaBoost
Python Code	https://gist.github.com/tristanwietsma/5486024
AdaBoost Sparse Input Support	http://hamzehal.blogspot.com/2014/06/adaboost-sparse-input-support.html
adaBag R package	https://cran.r-project.org/web/packages/adabag/adabag.pdf
Tutorial	http://math.mit.edu/~rothvoss/18.304.3PM/Presentations/1-Eric-Boosting304FinalRpdf.pdf
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