際際滷shows by User: eligottlieb / http://www.slideshare.net/images/logo.gif 際際滷shows by User: eligottlieb / Wed, 31 Dec 2014 01:56:26 GMT 際際滷Share feed for 際際滷shows by User: eligottlieb Probabilistic programming /slideshow/probabilistic-programming/43110703 probabilisticprogramming-141231015626-conversion-gate01
What is probabilistic programming? By analogy: if functional programming is programming with first-class functions and equational reasoning, probabilistic programming is programming with first-class distributions and Bayesian inference. All computable probability distributions can be encoded as probabilistic programs, and every probabilistic program represents a probability distribution. What does it do? It gives a concise language for specifying complex, structured statistical models, and abstracts over the implementation details of exact and approximate inference algorithms. These models can be networked, causal, hierarchical, recursive, anything: the graph structure of the program is the generative structure of the distribution. Who's interested? Cognitive scientists, statisticians, machine-learning specialists, and artificial-intelligence researchers.]]>
What is probabilistic programming? By analogy: if functional programming is programming with first-class functions and equational reasoning, probabilistic programming is programming with first-class distributions and Bayesian inference. All computable probability distributions can be encoded as probabilistic programs, and every probabilistic program represents a probability distribution. What does it do? It gives a concise language for specifying complex, structured statistical models, and abstracts over the implementation details of exact and approximate inference algorithms. These models can be networked, causal, hierarchical, recursive, anything: the graph structure of the program is the generative structure of the distribution. Who's interested? Cognitive scientists, statisticians, machine-learning specialists, and artificial-intelligence researchers.]]> Wed, 31 Dec 2014 01:56:26 GMT /slideshow/probabilistic-programming/43110703 eligottlieb@slideshare.net(eligottlieb) Probabilistic programming eligottlieb What is probabilistic programming? By analogy: if functional programming is programming with first-class functions and equational reasoning, probabilistic programming is programming with first-class distributions and Bayesian inference. All computable probability distributions can be encoded as probabilistic programs, and every probabilistic program represents a probability distribution. What does it do? It gives a concise language for specifying complex, structured statistical models, and abstracts over the implementation details of exact and approximate inference algorithms. These models can be networked, causal, hierarchical, recursive, anything: the graph structure of the program is the generative structure of the distribution. Who's interested? Cognitive scientists, statisticians, machine-learning specialists, and artificial-intelligence researchers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/probabilisticprogramming-141231015626-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> What is probabilistic programming? By analogy: if functional programming is programming with first-class functions and equational reasoning, probabilistic programming is programming with first-class distributions and Bayesian inference. All computable probability distributions can be encoded as probabilistic programs, and every probabilistic program represents a probability distribution. What does it do? It gives a concise language for specifying complex, structured statistical models, and abstracts over the implementation details of exact and approximate inference algorithms. These models can be networked, causal, hierarchical, recursive, anything: the graph structure of the program is the generative structure of the distribution. Who&#39;s interested? Cognitive scientists, statisticians, machine-learning specialists, and artificial-intelligence researchers.
Probabilistic programming from Eli Gottlieb
]]> 1316 6 https://cdn.slidesharecdn.com/ss_thumbnails/probabilisticprogramming-141231015626-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-eligottlieb-48x48.jpg?cb=1523100364 I'm from New Jersey by way of upstate New York.