个结果，搜索词为 "bayesian network"
状态：新状态：预览您将获得的技能: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
状态：新状态：免费试用Arizona State University
您将获得的技能: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis
状态：免费试用Stanford University
您将获得的技能: 决策智能, 贝叶斯网络, 概率与统计, 图论, 网络模型, 马尔可夫模型, 依赖性分析, 概率分布, 统计建模, 决策支持系统, 网络分析, 贝叶斯统计
状态：免费试用University of California, Santa Cruz
您将获得的技能: 统计方法, 概率, R 程序设计, 数据分析, 概率与统计, 数据科学, 统计分析, 技术交流, 数据展示, 统计推理, 统计报告, 统计资料, 时间序列分析和预测, 马尔可夫模型, 概率分布, 预测, 统计编程, 统计软件, 统计建模, 贝叶斯统计
- 状态：免费试用
Stanford University
您将获得的技能: 无监督学习, 机器学习算法, 贝叶斯网络, 统计方法, 机器学习方法, 概率与统计, 机器学习, 模型优化, 算法, 网络模型, Algorithm, 应用机器学习, 统计机器学习, 马尔可夫模型, 概率分布, 贝叶斯统计, 模型培训
是什么让您今天来到 Coursera？
状态：预览Johns Hopkins University
您将获得的技能: 一般科学与研究, 高等教育, 研究方法, 研究设计, 概率与统计, 概率, 批判性思维, 科学方法, 实验, 研究, 贝叶斯统计, 科学与研究
状态：新状态：免费试用您将获得的技能: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)
状态：新状态：免费试用您将获得的技能: Root Cause Analysis, Data Ethics, Responsible AI, Retrieval-Augmented Generation, LLM Application, Operations Research, General Data Protection Regulation (GDPR), Regulatory Compliance, Strategic Decision-Making, Apache Kafka, Pareto Chart, Operational Analysis, Decision Intelligence, Stakeholder Communications, Revenue Management, Large Language Modeling, Real Time Data, Information Privacy, Statistical Inference, Reinforcement Learning
状态：免费试用Stanford University
您将获得的技能: 决策智能, 无监督学习, 机器学习算法, 机器学习方法, 机器学习, 模型优化, 图论, 概率与统计, 贝叶斯网络, 统计推理, 网络模型, 马尔可夫模型, 概率分布, 应用机器学习, 统计建模, 统计机器学习, 模型培训, 贝叶斯统计, 网络分析, 决策支持系统
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning
状态：预览您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Agentic Workflows, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Probability & Statistics
总之，以下是 10 最受欢迎的 bayesian network 课程
- Probabilistic Graphical Models: A Compact Introduction: Coursera
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- Bayesian Statistical Concepts and Methods: Arizona State University
- 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
- 不确定性条件下的科学研究基础: Johns Hopkins University
- Statistical Inference & Predictive Modeling Foundations: Coursera
- AI Techniques, Causal Inference & Business Optimization: Coursera
- 概率图形模型: Stanford University
