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：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
状态：新状态：预览您将获得的技能: Unsupervised Learning, Microsoft Excel, Excel Formulas, Scatter Plots, Data Preprocessing, Data Visualization, Data Analysis, Data Manipulation, Feature Engineering
您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Google Gemini, Generative AI, Large Language Modeling, Multimodal Prompts, Google Cloud Platform, Model Deployment
您将获得的技能: Google Cloud Platform, Data Lakes, Metadata Management, Taxonomy, Data Dictionary
状态：新状态：免费试用您将获得的技能: Post-Production, Video Editing, Adobe After Effects, Animation and Game Design, 3D Assets, 3D Modeling, File Management, Computer Graphics, Video Production, Cinematography, Motion Graphics
状态：新状态：免费试用您将获得的技能: Cloud Computing, Cloud Deployment, Cloud Infrastructure, Cloud Computing Architecture, Cloud Services, Cloud Management, Data Storage Technologies, Infrastructure As A Service (IaaS), Data Migration, Virtual Machines, Virtualization, Virtual Networking, Cloud Storage, Virtual Private Networks (VPN), Network Routing
状态：免费试用Microsoft
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Ethics, Azure DevOps Pipelines, Azure DevOps, Model Deployment, Generative AI, AI Workflows, Microsoft Azure, Application Lifecycle Management, CI/CD, Version Control, Model Evaluation, System Monitoring, Continuous Monitoring
状态：新状态：免费试用您将获得的技能: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Data Structures, Systems Integration, Linear Algebra
您将获得的技能: Wireframing, Application Design, Web Design, Collaborative Software, User Interface (UI), Miro AI, Mockups
状态：新状态：预览您将获得的技能: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
状态：新状态：免费试用您将获得的技能: Governance, Talent Management, Competitive Analysis, Sales Operations, Sales Management, Sales Strategy, Sales, Market Share, Sales Enablement, Organizational Structure, Workforce Planning, Performance Improvement, Performance Measurement, Operational Excellence, Talent Acquisition, Strategic Marketing, Compensation Strategy, Brand Strategy, Revenue Management, Disaster Recovery
您将获得的技能: Infographics, Presentations, Data Visualization, Content Creation, User Accounts, Business Communication
总之，以下是 10 最受欢迎的 probabilistic graphical models 课程
- Data Science Fundamentals, Part 2: Pearson
- Excel: Apply & Evaluate Unsupervised Clustering: EDUCBA
- Auf generativer KI basierende Anwendungen in Google Cloud entwickeln: Google Cloud
- Discover and Catalog Vertex AI Assets with Dataplex: Google Cloud
- Blender for Filmmakers: Animated Sci-Fi Hologram Effect: Skillshare
- CompTIA Cloud CV0-003: Unit 5: Pearson
- MLOps and responsible AI practices: Microsoft
- 3D Graphics with DirectX: Apply & Integrate: EDUCBA
- Desarrollo de un wireframe de una página web en Miro: Coursera
- Python: Implement & Evaluate Random Forests for ML: EDUCBA
