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: Free TrialSkills you'll gain: LLM Application, Large Language Modeling, AI Enablement, Forecasting, Artificial Intelligence, Business Analysis, Technology Roadmaps, Business Metrics, Innovation, Operational Efficiency, Customer experience improvement
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation
Google Cloud
Skills you'll gain: Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Computing, Generative AI
Status: PreviewSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, AI Workflows, Scalability, AI Orchestration, DevOps, Model Evaluation, Continuous Monitoring, Version Control
Status: Free TrialSkills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Data Pipelines, Business Intelligence, Data Mart, Database Management, Data Management, Process Optimization, Data Quality, Data Transformation, Performance Testing
Status: NewSkills you'll gain: Generative AI
Status: PreviewSkills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Google Gemini, Generative AI
Status: Free TrialSkills you'll gain: 3D Assets, Computer Graphics, Technical Design, Visualization (Computer Graphics), Image Quality, Prototyping, Animations, Animation and Game Design, Color Theory, Design Elements And Principles
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering
Status: PreviewSkills you'll gain: LLM Application, Large Language Modeling, Google Gemini, Generative AI, Prompt Engineering
Status: PreviewSkills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Embeddings, Classification Algorithms
Status: NewStatus: PreviewSkills you'll gain: Financial Modeling, Business Valuation, Revenue Forecasting, Working Capital, Cash Flows, Financial Statement Analysis, Financial Analysis, Financial Data, Financial Forecasting, Business Modeling, Balance Sheet, Capital Expenditure, Corporate Finance, Cash Flow Forecasting, Income Statement
Searches related to probabilistic graphical models
In summary, here are 10 of our most popular probabilistic graphical models courses
- Fine-tuning Language Models for Business Tasks: Coursera
- Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
- Explore and Evaluate Models using Model Garden: Google Cloud
- Operationalizing ML Models: MLOps for Scalable AI: Coursera
- The Path to Insights: Data Models and Pipelines: Google
- Train Large Language Models Faster - Parallelism Deep Dive: Packt
- Introduction to Large Language Models - Bahasa Indonesia: Google Cloud
- Blender 4 Creator Course Stylized 3D Models: Packt
- Gen AI Foundational Models for NLP & Language Understanding: IBM
- Introduction to Large Language Models - Português Brasileiro: Google Cloud
