When trying to learn about machine learning, one of the biggest initial hurdles for social scientists, or even traditional statisticians, are the differences in terminology. The gap between the way social scientists talk about statistical concepts and the way machine learning experts talk about the same concepts is so vast that many social scientists do [...]The post Translating the Words Used in Machine Learning into Human Language appeared first on NeoAcademic.Related articles from NeoAcademic:Calculating LongString in Excel to Detect Careless Responders Free Gamification of Human Resources Webinar Coming April 15 Stats and Methods Urban Legend 1: Formative Measurement CFP: Assessing Human Capabilities in Video Games and Simulations Examining Evidence for Leaderboards and Learning