Four short links: 11 August 2015

Real-time Sports Analytics, UI Regression Testing, AI vs. Charity, and Google's Data Pipeline Model

  1. Denver Broncos Testing In-Game Analytics — their newly hired director of analytics working with the coach. With Tanney nearby, Kubiak can receive a quick report on the statistical probabilities of almost any situation. Say that you have fourth-and-3 from the opponent’s 45-yard-line with four minutes to go. Do the large-sample-size percentages make the risk-reward ratio acceptable enough to go for it? Tanney’s analytics can provide insight to aid Kubiak’s decision-making. (via Flowing Data)
  2. Visual Review (GitHub) — Apache-licensed productive and human-friendly workflow for testing and reviewing your Web application’s layout for any regressions.
  3. Effective Altruism / Global AI (Vox) — fear of AI-run-amok (“existential risks”) contaminating a charity movement.
  4. The Dataflow Model (PDF) — Google Research paper presenting a model aimed at ease of use in building practical, massive-scale data processing pipelines.
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