The choice of PyMC as the probabilistic programming language is two-fold.
It can also be used for probabilistic programming.Uber的一个团队发布了Pyro,一个深度概率编程语言;.
A team at Uber released Pyro, a Deep Probabilistic Programming Language.
Financial forecasting with probabilistic programming and Pyro.一些概率编程系统虽然足够灵活,可以覆盖到多种AI技术,但运行不够高效。
Some other probabilistic programming systems are flexible enough to cover several kinds of AI techniques, but they run inefficiently.Combinations with other parts of speech
近年来,机器学习,深度学习和概率编程在精准预测方面显示出巨大潜力。
In recent years, machine learning, deep learning, and probabilistic programming have shown great promise in generating accurate forecasts.尽管概率编程并不需要机器去学习工作,但是它提供了一个简化机器学习的方法,Tenenbaum说。
Although probabilistic programming does not require machine learning to work, it can provide a way to streamline the use of machine learning, Tenenbaum said.其他一些概率编程系统足够灵活,可以涵盖多种人工智能技术,但它们的运行效率很低。
Some other probabilistic programming systems are flexible enough to cover several kinds of AI techniques, but they run inefficiently.概率编程:一个框架,它不强迫您硬编码特定的变量,而是使用概率模型。
Probabilistic Programming: a framework that does not force you to hardcode specific variable but rather works with probabilistic models.具体来说,它对概率编程来说很好,并能帮助开发人员在编译时发现错误。
Specifically, it is good host for probabilistic programming and helps developers catch errors at compile time.在此,我们展示如何使用概率编程和贝叶斯推理来轻松构建工具,更好地预测更有效的决策。
Here, we show how to use probabilistic programming and Bayesian inference to easily build tools that make better predictions for more effective decision making.它最初由Facebook的人工智能研究团队开发,并且被用于Uber的概率编程软件'Pyro'。
It is primarily developed by Facebook's artificial-intelligence research group;Uber's“Pyro” software for probabilistic programming is built on it.融合了以下三个领域:贝叶斯统计学和机器学习、深度学习、概率编程。
Edward fuses three fields: Bayesian statistics and machine learning,deep learning, and probabilistic programming.Edward融合了以下三个领域:贝叶斯统计学和机器学习、深度学习、概率编程。
Edward fuses three fields: Bayesian statistics and machine learning,deep learning, and probabilistic programming.Haskell在概率编程方面也非常出色,这对于人工智能/机器学习开发人员在迭代的编译阶段快速识别错误非常重要。
Haskell is also superb for probabilistic programming that is important for AI/Machine Learning developers to identify errors in the compilation stage of the iteration quickly.为了介绍概率编程语言的基本概念,我将使用一个名为webppl的项目,它是嵌入在JavaScript中的概率编程语言。
To introduce the fundamental ideas of a probabilistic programming language, I will use a venture referred to as webppl, which is a PPL embedded in JavaScript.的概率编程软件"Pyro"就是在Pytorch上创建的。
Uber's“Pyro” software for probabilistic programming is built on PyTorch.Tenenbaum的实验室将传统的机器学习与新颖的“概率编程”方法结合起来。
Tenenbaum's lab combines conventional machine learning with novel“probabilistic programming” approaches.PYRO:这是一种用Python编写的通用概率编程语言(PPL),后端由PyTorch支持.
Pyro is a universal probabilistic programming language(PPL) written in Python and supported by PyTorch on the backend.论文提出了一种简单的方法,用于将概率编程嵌入到深度学习生态系统。
We describe a simple, low-level approach for embedding probabilistic programming in a deep learning ecosystem.NET是一个在图形模型中运行贝叶斯推理的框架,它也可以用于概率编程。
NET is a framework for running Bayesian inference in graphicalmodels that can also be used for probabilistic programming.我们使用Stan(WEBProphet模型,并在Stan的概率编程语言中实现了Prophet流程的核心部分。
We fit the Prophet model using Stan,and have implemented the core of the Prophet procedure in Stan's probabilistic programming language.另一个更常用的概率编程语言叫做Venture,它还能用于解决其他问题,Tenenbaum说到。
Another, more general-use, probabilistic programming language from the team, called Venture, can be used to solve other kinds of problems, Tenenbaum said.它最初由Facebook的人工智能研究团队开发,并且被用于Uber的概率编程软件'Pyro'。
It is mainly developed by Facebook's Artificial Intelligence research group andUber's"Pyro" software for probabilistic programming.它主要是由Facebook的人工智能研究小组开发的,Uber的概率编程软件「Pyro」就建立在它的基础之上。
It is primarily developed by Facebook's artificial-intelligence research group;Uber's“Pyro” software for probabilistic programming is built on it.它主要是由Facebook的人工智能研究小组开发的,Uber的概率编程软件「Pyro」就建立在它的基础之上。
It is mainly developed by Facebook's Artificial Intelligence research group andUber's"Pyro" software for probabilistic programming.在实践中,许多概率编程系统将这些向前和向后的操作巧妙地交织在一起,以给出有效的最佳解释。
In practice, many probabilistic programming systems will cleverly interleave these forward and backward operations to efficiently home in on the best explanations.它主要是由Facebook的人工智能研究小组开发的,Uber的概率编程软件「Pyro」就建立在它的基础之上。
It is primarily developed by Facebook's artificial-intelligence research group,and Uber's"Pyro" software for probabilistic programming is built on it.