开始时间: 12/21/2023 持续时间: Approximately 4 months to complete Suggested pace of 11 hours/week
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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/probabilistic-graphical-models
课程评论：没有评论
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.
概率图形模型专业化：概率图形模型（PGM）是一个丰富的框架，用于编码复杂域上的概率分布：大量相互交互的随机变量上的联合（多变量）分布。这些表示法依赖于概率论，图算法，机器学习等概念，位于统计学与计算机科学的交叉点上。它们是医学诊断，图像理解，语音识别，自然语言处理以及许多其他应用程序中最先进方法的基础。它们还是解决许多机器学习问题的基础工具。Course Link: https://www.coursera.org/learn/probabilistic-graphical-models
Name:Probabilistic Graphical Models 1: Representation
Description:Offered by Stanford University. Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over ... Enroll for free.
Course Link: https://www.coursera.org/learn/probabilistic-graphical-models-2-inference
Name:Probabilistic Graphical Models 2: Inference
Description:Offered by Stanford University. Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over ... Enroll for free.
Course Link: https://www.coursera.org/learn/probabilistic-graphical-models-3-learning
Name:Probabilistic Graphical Models 3: Learning
Description:Offered by Stanford University. Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over ... Enroll for free.
斯坦福大学 Daphne Koller 教授的概率图模型专项课程系列（Probabilistic Graphical Models Specialization），作为Coursera上最早的几门课程之一，这门概率图模型课程的相当有难度，完成作业拿到证书还是很有挑战的，感兴趣的同学可以关注：Probabilistic Graphical Models-Master a new way of reasoning and learning in complex domains
