概率图形模型课程
概率图形模型课程可以帮助您学习贝叶斯网络、马尔可夫随机场和推理算法。您可以掌握不确定性建模、不确定性下的推理以及基于不完整数据进行预测的技能。许多课程都会介绍 TensorFlow Probability 和 PyMC3 等工具，这些工具用于实现这些 Model 和执行复杂的计算，使您能够将所学知识应用到现实世界的数据分析和机器学习任务中。
热门概率图形模型课程和认证
状态：免费试用University of California, Santa Cruz
您将获得的技能: 概率分布, R 语言程序设计（中文版）, 数据建模, 微软Excel, 统计建模, 数据分析, 概率与统计, 贝叶斯统计, 回归分析, 分析技能, R（软件）, 统计方法, 统计推理, 预测建模, 概率, 数据可视化, 统计可视化, 统计
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis
状态：免费试用University of Colorado Boulder
您将获得的技能: 模型评估, 概率分布, 微积分, R 语言程序设计（中文版）, 逻辑回归, 数学建模, 数据分析, 统计建模, 机器学习, 统计方法, 回归分析, 线性代数, 统计推理, 预测建模, 数据伦理
University of Colorado Boulder
您将获得的技能: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms
状态：新状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis
状态：免费试用Johns Hopkins University
您将获得的技能: 概率分布, 统计建模, 数据分析, 贝叶斯统计, 概率与统计, 统计方法, 概率, 统计分析, 样本量的确定, 抽样（统计）, 统计推理, 统计, 统计假设检验
状态：免费试用Johns Hopkins University
您将获得的技能: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations
状态：免费试用Johns Hopkins University
您将获得的技能: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
您将获得的技能: 模型评估, Pandas（Python 软件包）, 无监督学习, 数据预处理, 统计方法, 降维, 深度学习, Jupyter, 应用机器学习, 预测建模, 统计分析, 预测, 时间序列分析和预测, 数据转换
状态：预览Fractal Analytics
您将获得的技能: Model Evaluation, Generative AI, Data Preprocessing, Transfer Learning, PyTorch (Machine Learning Library), Machine Learning, Convolutional Neural Networks, Image Quality
状态：免费试用IBM
您将获得的技能: 模型评估, 分类算法, 机器学习, 数据清理, 逻辑回归, 数据预处理, Scikit-learn （机器学习库）, 监督学习, 性能指标, 决策树学习, 功能工程, 随机森林算法, 抽样（统计）, 预测建模
总之，以下是 10 最受欢迎的 probabilistic graphical models 课程
- 贝叶斯统计：从概念到数据分析: University of California, Santa Cruz
- Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
- 广义线性模型和非参数回归: University of Colorado Boulder
- Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
- Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
- Generative AI and Large Language Models: Coursera
- 统计推理: Johns Hopkins University
- Foundations of Probability and Random Variables: Johns Hopkins University
- Computational and Graphical Models in Probability: Johns Hopkins University
- 专业模型：时间序列和生存分析: IBM
