Data science as the application of theoretical knowledge

Data science as the application of theoretical knowledge Posted by Andrew on 3 July 2016, 9:53 am Patrick Atwater writes: Insights that “much of what’s hard looks easy” and it’s about “getting the damn data” highlight important points that much of the tech-ey industry dominating definitions overlook in the excitement about production ML recommendation systems and the like. Working to build from that grounded perspective, I penned together a quick piece digging into what really defines data science and I think the applied nature of the work that you hint at holds an important key. In many ways, the confused all-things-to-all-people nature echos the fractal nature of a field like “management” which devolves into poetic aphorisms and intellectual-lite books elucidating best practices while at the same time pulling from more formal…


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