概率编程 pyMC(4) 贝叶斯线性回归
7:59
bilibilizidea2015
概率编程 pyMC(4) 贝叶斯线性回归
概率编程允许对用户定义的概率模型进行自动贝叶斯推断。基于梯度的马尔可夫链蒙特卡罗（MCMC）采样算法——哈密顿蒙特卡罗（HMC），能够对日益复杂的模型进行推断，但需要通常不易计算的梯度信息。PyMC是一个用Python编写的开源概率编程框架，通过PyTensor ...
299 views3 months ago
Shorts
概率编程 pyMC(2) 解读贝叶斯公式
4:38
164 views
概率编程 pyMC(2) 解读贝叶斯公式
zidea2015
概率编程 pyMC(3) 手算贝叶斯推断
7:41
322 views
概率编程 pyMC(3) 手算贝叶斯推断
zidea2015
PyMC Examples
Chris Fonnesbeck - Probabilistic Python: An Introduction to Bayesian Modeling with PyMC
1:26:34
Chris Fonnesbeck - Probabilistic Python: An Introduction to Bayesian Modeling with PyMC
YouTubePyData
33.8K viewsJul 6, 2022
Bayesian Decision Making with PyMC (advanced)
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Bayesian Decision Making with PyMC (advanced)
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Chris Fonnesbeck - Bayesian Time Series | PyData London 25
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Chris Fonnesbeck - Bayesian Time Series | PyData London 25
YouTubePyData
2.4K views6 months ago
Top videos
概率编程 pyMC(1) 基础知识
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概率编程 pyMC(1) 基础知识
bilibilizidea2015
372 views3 months ago
PyTensor | 深入理解计算图 | A Deep Dive into Computational Graphs
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PyTensor | 深入理解计算图 | A Deep Dive into Computational Graphs
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概率编程 pyMC(5) 蒙提霍尔问题
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Bayesian Modeling with PyMC
In case you missed yesterday's webinar, here is the recording. Also, you can download all webinar materials, including networks and slides, from our website: https://www.bayesia.com/2019-02-21-simulation-meta-modeling | Bayesia USA
55:10
In case you missed yesterday's webinar, here is the recording. Also, you can download all webinar materials, including networks and slides, from our website: https://www.bayesia.com/2019-02-21-simulation-meta-modeling | Bayesia USA
FacebookBayesia USA
2K viewsFeb 22, 2019
Introduction to Bayesian Analysis in Python
Introduction to Bayesian Analysis in Python
git.ir
Nov 24, 2022
#147 Fast Approximate Inference without Convergence Worries, with Martin Ingram
1:09:55
#147 Fast Approximate Inference without Convergence Worries, with Martin Ingram
YouTubeLearning Bayesian Statistics
51 views2 weeks ago