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Totally random. What ML practioneers *really* do. Data oaths. ML conferences around the world. How-to guide for reading papers.
Fast Pandas. Databases 101. Machine Learning w/ R. Creating a data science portfolio. MS Research Open Data. Awesome visualization research.
Failing at Machine Learning. Agile analytics. 2018 Big Data & AI Landscape. Interview red flags. How likely is "likely?"