Eric Smith is Senior Vice President of Product Development at Middlebury Interactive Languages, which provides online content and tools for world language and English language learning in K-12 schools. Eric is a regular speaker on functional programming, type theory and type systems. In addition to technology management, Eric works on research and development in applying machine learning and artificial intelligence methods to real-world problems in education. https://speakerdeck.com/eric271828 2016-09-19 11:23:38 -0400 The world is full of uncertainty. But most software handles computation deterministically. Probabilistic Programming is a bridge between general-purpose programming languages and the statistical methods of machine learning and artificial intelligence. In this introduction, we cover some basics of probability theory, provide a conceptual framework for understanding probabilistic programming systems, compare probabilistic inference with logical inference and its use in making decisions, and survey some of the current efforts to bring probabilistic programming to industrial settings. The world is full of uncertainty. But most software handles computation deterministically. Probabilistic Programming is a bridge between general-purpose programming languages and the statistical methods of machine learning and artificial intelligence. In this introduction, we cover some basics of probability theory, provide a conceptual framework for understanding probabilistic programming systems, compare probabilistic inference with logical inference and its use in making decisions, and survey some of the current efforts to bring probabilistic programming to industrial settings. Mon, 19 Sep 2016 00:00:00 -0400 https://speakerdeck.com/eric271828/probabilistic-programming-vermont-code-camp-2016 https://speakerdeck.com/eric271828/probabilistic-programming-vermont-code-camp-2016