Here are the most interesting research papers / articles that I came across.
- A Few Useful Things to Know about Machine Learning. This papers discusses twelve important topics that every machine learning practitioner should pay his attention to. https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
- This article describes foundations of algorithmic bias. http://approximatelycorrect.com/2016/11/07/the-foundations-of-algorithmic-bias/
- How machine learning algorithms are evaluated in real world uses in web and other online applications. https://ai.stanford.edu/~ronnyk/2007GuideControlledExperiments.pdf