个结果，搜索词为 "bayesian network"
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
状态：免费试用Stanford University
您将获得的技能: 贝叶斯网络, 概率分布, 概率与统计, 网络分析, 决策支持系统, 图论, 马尔可夫模型, 统计建模, 自然语言处理, 网络模型
状态：免费试用University of California, Santa Cruz
您将获得的技能: 微软Excel, 统计分析, 时间序列分析和预测, 数据科学, 预测, 统计推理, 贝叶斯统计, R（软件）, 技术交流, 马尔可夫模型, 概率, 高级分析, 数学建模, 统计建模, 数据分析, 数据展示, 统计方法, 统计软件, 统计, R 语言程序设计（中文版）
- 状态：免费试用
Stanford University
您将获得的技能: 机器学习算法, 概率分布, 贝叶斯网络, 概率与统计, 网络分析, 机器学习, 马尔可夫模型, Algorithm, 统计建模, 统计方法, 应用机器学习
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Probability, Statistical Inference, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Markov Model, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis
状态：免费试用Johns Hopkins University
您将获得的技能: 回归分析, 预测建模, 统计分析, 应用数学, 统计推理, 抽样（统计）, 概率分布, 数据科学, 概率与统计, 统计假设检验, 贝叶斯统计, 数学建模, 数据分析, 概率, 统计建模, 统计, 统计方法, 线性代数, 生物统计学, R 语言程序设计（中文版）
是什么让您今天来到 Coursera？
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Machine Learning Algorithms, Debugging, Artificial Intelligence, Applied Machine Learning, Image Analysis, Unsupervised Learning, Machine Learning, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Bayesian Statistics, Supervised Learning, Network Architecture, Markov Model
Duke University
您将获得的技能: 回归分析, 预测建模, 概率分布, 贝叶斯统计, 统计推理, 统计假设检验, 统计建模, 数据分析, 概率, 统计方法, R 语言程序设计（中文版）
状态：免费试用Stanford University
您将获得的技能: 机器学习算法, 概率分布, 贝叶斯网络, 统计推理, 抽样（统计）, 概率与统计, 网络分析, 图论, 决策支持系统, 机器学习, Algorithm, 计算思维, 马尔可夫模型, 自然语言处理, 统计建模, 网络模型, 统计方法, 应用机器学习
状态：免费试用University of California, Santa Cruz
您将获得的技能: 回归分析, 统计分析, 微软Excel, 统计推理, 概率分布, 贝叶斯统计, 数据分析, 统计建模, 概率, R 语言程序设计（中文版）, 统计
状态：新Birla Institute of Technology & Science, Pilani
您将获得的技能: Graph Theory, Network Analysis, Social Network Analysis, Combinatorics, Network Model, Mathematical Modeling, Data Structures, Transportation Operations, Image Analysis, Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Problem Solving
状态：新状态：预览您将获得的技能: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics
总之，以下是 10 最受欢迎的 bayesian network 课程
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- 概率图形模型 1：表示法: Stanford University
- 贝叶斯统计: University of California, Santa Cruz
- 概率图形模型 3：学习: Stanford University
- Foundations of Probability and Statistics: University of Colorado Boulder
- 数据科学高级统计学: Johns Hopkins University
- Foundations of Neural Networks: Johns Hopkins University
- 贝叶斯统计: Duke University
- 概率图形模型: Stanford University
- 贝叶斯统计：从概念到数据分析: University of California, Santa Cruz
