On the Practice of Dichotomization of Quantitative Variables
Danmaz74/ABalytics: Simple Client-Side A/B Testing in Pure Javascript
BeeLine Reader: Making Reading On-Screen Easier and Faster
Show HN: Ditch Black Text to Read Faster, Easier; +723, 266 Comments
https://programmablesearchengine.google.com/about/cse/publicurl?cx=009114923999563836576:1eorkzz2gp4
https://programmablesearchengine.google.com/about/cse/publicurl?cx=009114923999563836576:dv0a4ndtmly
The Unreasonable Effectiveness of Recurrent Neural Networks
Sutton & Barto Book: Reinforcement Learning: An Introduction
https://umichrl.pbworks.com/w/page/7597597/Successes%20of%20Reinforcement%20Learning
https://osnadocs.ub.uni-osnabrueck.de/bitstream/urn:nbn:de:gbv:700-2008112111/2/E-Diss839_thesis.pdf
https://diyhpl.us/~nmz787/pdf/Human-level_control_through_deep_reinforcement_learning.pdf
Gorila: Massively Parallel Methods for Deep Reinforcement Learning
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.75.7884&rep=rep1&type=pdf
Karpathy/char-Rnn: Multi-Layer Recurrent Neural Networks (LSTM, GRU, RNN) for Character-Level Language Models in Torch
note#efficient-natural-language
https://www.amazon.com/Acer-Aspire-Edition-VN7-791G-792A-17-3-Inch/dp/B00WJSQRN0
https://us-east-1.console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8
Feature: Beam Search for Improving Global Quality of New Text Samples
https://www.dropbox.com/s/5719eisknt0u9fi/lm_css_epoch24.00_0.7660.t7.xz
https://www.reddit.com/r/MachineLearning/comments/3fzau7/training_a_neural_network_to_generate_css/
https://www.reddit.com/r/compsci/comments/3fy9b0/training_a_neural_net_to_generate_css/
Sytelus/HackerNewsData: All Stories and Comments Posted on Hacker News Upto May 29, 2014
On the Near Impossibility of Measuring the Returns to Advertising
Wikipedia Bibliography: