个结果，搜索词为 "bayesian network"
状态：免费试用University of California, Santa Cruz
您将获得的技能: 统计分析, Model Evaluation, 贝叶斯统计, 统计方法, 统计推理, R 语言程序设计（中文版）, 统计建模, 预测, 统计, 概率分布, 时间序列分析和预测, 技术交流, 数学建模, 概率, 数据展示, 数据科学, 数据分析, 马尔可夫模型, 统计软件, 概率与统计
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 Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution
状态：免费试用Stanford University
您将获得的技能: 机器学习算法, 网络分析, 统计建模, 决策支持系统, 图论, 概率分布, 贝叶斯网络, 概率与统计, 网络模型, 马尔可夫模型
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, 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, Classification Algorithms, Statistical Inference
状态：预览Johns Hopkins University
您将获得的技能: 贝叶斯统计, 统计方法, 科学方法, 概率, 实验, 研究方法, 研究设计, 概率与统计, 批判性思维, 一般科学与研究, 研究, 调查
- 状态：免费试用
Stanford University
您将获得的技能: Algorithm, Model Evaluation, 统计方法, 贝叶斯统计, 机器学习算法, 统计建模, 概率分布, 贝叶斯网络, 应用机器学习, 机器学习, 马尔可夫模型
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: Data Ethics, Responsible AI, LLM Application, Operations Research, Strategic Thinking, Strategic Decision-Making, Business Strategy, Apache Kafka, Large Language Modeling, Real Time Data, AI Enablement, Performance Testing, Prompt Engineering, Business Analytics, Operational Analysis, Reinforcement Learning, Technical Communication, Inventory Management System, Supply Chain, General Data Protection Regulation (GDPR)
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, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Histogram, Data Presentation, Predictive Modeling, Data Storytelling, Exploratory Data Analysis, Risk Analysis, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library), Statistical Inference
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
状态：免费试用University of Colorado Boulder
您将获得的技能: Probability, Statistical Inference, Estimation, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Markov Model, Data Literacy, Statistical Analysis, Sampling (Statistics), Bayesian Statistics, Applied Mathematics, Artificial Intelligence, Generative AI, Data Science, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Mathematical Theory & Analysis
状态：免费试用Johns Hopkins University
您将获得的技能: 统计分析, 贝叶斯统计, 统计方法, 统计推理, 抽样（统计）, 统计建模, 回归分析, R 语言程序设计（中文版）, 应用数学, 统计, 概率分布, 数学建模, 概率, 数据分析, 统计假设检验, 概率与统计, 生物统计学, 数据科学, 数据建模, 线性代数
状态：新状态：预览您将获得的技能: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability
是什么让您今天来到 Coursera？
与 bayesian network 相关的搜索
总之，以下是 10 最受欢迎的 bayesian network 课程
- 贝叶斯统计: University of California, Santa Cruz
- Bayesian Statistical Concepts and Methods: Arizona State University
- 概率图形模型 1：表示法: Stanford University
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- 不确定性条件下的科学研究基础: Johns Hopkins University
- 概率图形模型 3：学习: Stanford University
- AI Techniques, Causal Inference & Business Optimization: Coursera
- Statistical Inference & Predictive Modeling Foundations: Coursera
- Foundations of Neural Networks: Johns Hopkins University
- Foundations of Probability and Statistics: University of Colorado Boulder
