What We're Reading [24 ... 30 August 15]
Big Data & Society editor Evelyn Ruppert discusses the sociality of data and the inherent dangers in analysis that fails to consider that data is socially produced.
Deep mining, classification, unsupervised data … these words are buzzing these days, which is why you at least get a general feeling for what they mean. This article gives a clear and quick explanation of some of the most common terms in machine learning. [Text Analysis Blog]
“Despite my young exposure to violent fantasy and horror films, I turned out alright. Didn’t I?” Backpacking dad Shawn Burns reflects on the makings of his geekhood and how he’s passing the legacy on to his kid.
Michel Serres tears apart the genealogy of physics in a way only he could. In this important work, Serres reveals physics as our human need to express our discomfort with the unpredictability of order and chaos.