"Practical Guide to Controlled Experiments on the Web: Listen to Your Customers not to the HiPPO" by Ron Kohavi, Randal M. Henne, Dan Sommerfield ai.stanford.edu/~ronnyk/2007Gu

A real-world example of a prediction problem in the health/medical sciences domain - training a classifier to predict the risk of autism spectrum disorder (ASD) based on genetic markers. the-scientist.com/news-opinion

Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP lectures. github.com/kmario23/deep-learn

Cirq, an open-source quantum framework for building and experimenting with noisy intermediate scale quantum (NISQ) algorithms on near-term quantum processors. ai.googleblog.com/2018/07/anno

Why and how automated processes for decision-making, particularly applications of machine learning, can exhibit bias in subtle and not-so-subtle ways approximatelycorrect.com/2016/

Useful Junk? The Effects of Visual Embellishment on Comprehension and Memorability of Charts by Scott Bateman, Regan L. Mandryk, Carl Gutwin, Aaron Genest, David McDine and, Christopher Brooks hci.usask.ca/uploads/173-pap02

Reflections on the Challenges and Pitfalls of Evidence-Driven Visual Communication by Alberto Cairo infovis.fh-potsdam.de/readings

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