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
University of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Sampling (Statistics), Data Analysis, Correlation Analysis, Statistical Analysis, Applied Mathematics, Data Collection
Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Model Evaluation, Statistical Hypothesis Testing, Integral Calculus
University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Data-Driven Decision-Making, Statistical Modeling, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Markov Model, Statistical Methods, Data Science, Health Informatics, Statistical Inference, Statistical Machine Learning, Statistical Programming, Regression Analysis, Statistical Analysis, Machine Learning, Machine Learning Algorithms, Python Programming, Probability Distribution, Computational Thinking
University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Statistics, Statistical Inference, Probability & Statistics, Statistical Modeling, Statistical Methods, Probability Distribution, Statistical Analysis, Markov Model, Statistical Programming, Algorithms
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Statistics, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Predictive Modeling, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution
Universidad Nacional Autónoma de México
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistical Methods, Statistics, Statistical Modeling, Statistical Analysis, Descriptive Statistics
University of Colorado Boulder
Skills you'll gain: Artificial Intelligence, Generative AI, Decision Intelligence, Machine Learning Algorithms, Mathematical Theory & Analysis
Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Statistical Modeling, Model Training, Sampling (Statistics)
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI
University of Minnesota
Skills you'll gain: Simulations, Probability Distribution, Probability, Statistical Methods, Simulation and Simulation Software, Probability & Statistics, Microsoft Excel, Solution Design, Excel Formulas, Operations Research, Complex Problem Solving, Excel Macros, Business Modeling, Risk Modeling, Data Modeling, Predictive Modeling, Analysis, Estimation
In summary, here are 10 of our most popular probabilistic graphical models courses
- Probability Foundations for Data Science and AI:Â University of Colorado Boulder
- Advanced Linear Models for Data Science 2: Statistical Linear Models:Â Johns Hopkins University
- Advanced Bayesian Methods and Applications:Â University of Pittsburgh
- Bayesian Inference Fundamentals:Â University of Pittsburgh
- Probability & Statistics for Machine Learning & Data Science:Â DeepLearning.AI
- Foundations of Probability and Random Variables:Â Johns Hopkins University
- Introduction to Bayesian Statistics for Data Science:Â University of Colorado Boulder
- EstadÃstica y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
- Discrete-Time Markov Chains and Monte Carlo Methods:Â University of Colorado Boulder
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
