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Residual Analysishttps://github.com/CodeR57/Machine-Learning-Tutorials#residuals-
Interpreting plot.lm() in Rhttp://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
Interpreting Residuals vs Fitted Plothttp://stats.stackexchange.com/questions/76226/interpreting-the-residuals-vs-fitted-values-plot-for-verifying-the-assumptions
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How should outliers be dealt with?http://stats.stackexchange.com/questions/175/how-should-outliers-be-dealt-with-in-linear-regression-analysis
Elastic Nethttps://en.wikipedia.org/wiki/Elastic_net_regularization
Regularization and Variable Selection via the Elastic Nethttps://web.stanford.edu/~hastie/Papers/elasticnet.pdf
Resampling Explainedhttps://en.wikipedia.org/wiki/Resampling_(statistics)
Partioning data set in Rhttp://stackoverflow.com/questions/13536537/partitioning-data-set-in-r-based-on-multiple-classes-of-observations
Implementing hold-out Validaion in Rhttp://stackoverflow.com/questions/22972854/how-to-implement-a-hold-out-validation-in-r
2http://www.gettinggeneticsdone.com/2011/02/split-data-frame-into-testing-and.html
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Introduction to Neural Machine Translation with GPUs (part 1)http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-with-gpus/
Part 2http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-gpus-part-2/
Part 3http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-gpus-part-3/
Deep Speech: Accurate Speech Recognition with GPU-Accelerated Deep Learninghttp://devblogs.nvidia.com/parallelforall/deep-speech-accurate-speech-recognition-gpu-accelerated-deep-learning/
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What would Shakespeare say (NLP Tutorial)https://gigadom.wordpress.com/2015/10/02/natural-language-processing-what-would-shakespeare-say/
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