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
Stanford Online
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Bayesian Statistics, Statistical Modeling, Markov Model, Machine Learning, Probability & Statistics, Statistical Inference, Model Training, Model Optimization, Sampling (Statistics), Algorithms
Stanford Online
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Probability & Statistics
Johns Hopkins University
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Combinatorics, Simulations, Calculus, Sampling (Statistics), Integral Calculus, Applied Mathematics, R Programming, Quantitative Research
Stanford Online
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning, Statistical Modeling, Model Training, Probability Distribution, Model Optimization, Probability & Statistics, Algorithms
Stanford Online
Skills you'll gain: Bayesian Network, Statistical Inference, Sampling (Statistics), Probability & Statistics, Algorithms, Probability Distribution
University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Predictive Analytics, Statistics, Regression Analysis, Predictive Modeling, Statistical Inference, Probability & Statistics, Model Evaluation, Data Analysis, Data Science, Statistical Machine Learning, Statistical Analysis, Statistical Programming, Markov Model, Probability Distribution, Machine Learning Algorithms, Machine Learning, Python Programming, Computational Thinking
What brings you to Coursera today?
Johns Hopkins University
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Applied Machine Learning, Statistical Hypothesis Testing, Data Analysis, Probability, Probability Distribution, Probability & Statistics, Statistical Methods, Simulations, Data Science, Markov Model, Network Model, Statistics, Statistical Inference, Correlation Analysis
Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Applied Machine Learning, R Programming, Simulations, Network Model, Probability & Statistics, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Skills you'll gain: Bayesian Network, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Statistical Inference, Graph Theory, Analysis, Sampling (Statistics), Algorithms
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis, Model Optimization
Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Responsible AI, AI Security, Autoencoders, Model Deployment, Fine-tuning
Best Probabilistic Graphical Models courses from Stanford Online
Top-rated Probabilistic Graphical Models courses offered by Stanford Online on Coursera.
- Probabilistic Graphical ModelsStanford OnlineAdvanced3 - 6 MonthsStanford Online
- Probabilistic Graphical Models 1: RepresentationStanford OnlineAdvanced1 - 3 MonthsStanford Online
- Probabilistic Graphical Models 3: LearningStanford OnlineAdvanced1 - 3 MonthsStanford Online
Best Probabilistic Graphical Models certificate programs
Earn a certificate in Probabilistic Graphical Models from top universities and companies.
- Applied Bayesian Data AnalysisUniversity of PittsburghIntermediate3 - 6 MonthsSpecialization
- Statistical Methods for Computer ScienceJohns Hopkins UniversityIntermediate3 - 6 MonthsSpecialization
- Bayesian StatisticsUniversity of California, Santa CruzIntermediate3 - 6 MonthsSpecialization
