Probabilistic Graphical Models Courses
Probabilistic Graphical Models courses can help you learn Bayesian networks, Markov random fields, and inference algorithms. You can build skills in modeling uncertainty, reasoning under uncertainty, and making predictions based on incomplete data. Many courses introduce tools like TensorFlow Probability and PyMC3, which are used for implementing these models and performing complex calculations, enabling you to apply your knowledge to real-world data analysis and machine learning tasks.
Popular Probabilistic Graphical Models Courses and Certifications
Status: FreeSkills you'll gain: Graphic and Visual Design, Graphic Design, Graphic and Visual Design Software, Design, Adobe Photoshop, Creative Design, Typography, 3D Modeling, 3D Assets, Color Theory, Visualization (Computer Graphics), Color Matching, Computer Graphics, Computer Graphic Techniques
Status: Free TrialSkills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, AI Workflows, Data Pipelines, Continuous Monitoring, Performance Tuning, Scalability
Status: Free TrialGoogle Cloud
Skills you'll gain: Looker (Software), Data Modeling, Dashboard, Database Design, Performance Tuning, Exploratory Data Analysis, Data Integration, SQL, Integrated Development Environments, Git (Version Control System)
Status: PreviewGoogle Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures
Status: PreviewGoogle Cloud
Skills you'll gain: LLM Application, Prompt Engineering, Large Language Modeling, Google Gemini, Generative AI
Status: FreeSkills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
Status: PreviewGoogle Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures
Status: NewStatus: Free TrialAlberta Machine Intelligence Institute
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Image Analysis, Embeddings, Autoencoders, Convolutional Neural Networks, Responsible AI, Computer Vision, Music, Recurrent Neural Networks (RNNs)
Status: PreviewUniversity of Lausanne
Skills you'll gain: Health Systems, Systems Thinking, Health Policy, Public Health, Model Based Systems Engineering, Community Health, Simulation and Simulation Software, Systems Engineering, Systems Analysis, Mathematical Modeling, Sustainable Systems, Environmental Policy
Status: PreviewGoogle Cloud
Skills you'll gain: Large Language Modeling, Prompt Engineering, Google Gemini, Generative AI, LLM Application
Status: PreviewGoogle Cloud
Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, LLM Application, AI Enablement, Artificial Intelligence, Application Development
- Status: Free Trial
University of Lausanne
Skills you'll gain: Systems Thinking, Health Systems, Health Policy, Public Health, Systems Analysis, Predictive Modeling, Social Determinants Of Health
Searches related to probabilistic graphical models
In summary, here are 10 of our most popular probabilistic graphical models courses
- 3D Models with Adobe Photoshop: Design a Pickleball Paddle: Coursera
- Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
- Developing Data Models with LookML 日本語版: Google Cloud
- Transformer Models and BERT Model - 简体中文: Google Cloud
- Introduction to Large Language Models - 简体中文: Google Cloud
- MLOps in R: Deploying machine learning models using vetiver: Coursera
- Transformer Models and BERT Model - 日本語版: Google Cloud
- Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute
- Healthy Urban systems Part 2 : Theories, models and tools : University of Lausanne
- Introduction to Large Language Models - 日本語版: Google Cloud
