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  • Probabilistic Graphical Models

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


  • C

    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Statistical Methods, Model Training, Verification And Validation, Plot (Graphics), Performance Metric

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • U

    University of Michigan

    Prediction Models with Sports Data

    Skills you'll gain: Logistic Regression, Forecasting, Data Processing, Predictive Analytics, Predictive Modeling, Statistical Modeling, Data Analysis, Market Data, Analytics, Regression Analysis, Data Preprocessing, Model Evaluation, Python Programming, Probability & Statistics, Data Ethics, Probability, Ethical Standards And Conduct

    4.5 stars, 43 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.5 (43) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    Duke University

    Data Visualization and Modeling in Python

    Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization, Predictive Modeling, Scientific Visualization, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Statistical Visualization, Data Presentation, Data Manipulation, Data Wrangling, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Applied Machine Learning, Machine Learning Algorithms, Model Evaluation, Statistical Inference

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Building Retrieval-Augmented Systems & Knowledge Graphs

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Artificial Intelligence and Machine Learning (AI/ML), Agentic Workflows, Generative AI Agents, AI Integrations, Artificial Intelligence, Large Language Modeling, Taxonomy, Agentic systems, Scalability, Python Programming, System Design and Implementation, Machine Learning, Graph Theory

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • E

    EDUCBA

    Logistic Regression with R: Build & Predict

    Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Model Optimization, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Applied Machine Learning, Regression Analysis, Predictive Analytics, Machine Learning Methods, Financial Modeling, Machine Learning, Supervised Learning, Credit Risk, Analytics, Dimensionality Reduction, Data Science

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistics, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, R (Software), Probability, Analysis, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution

    3.8 stars, 801 reviews, Intermediate, Course, 1 - 3 Months

    ★ 3.8 (801) · Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Data Modeling and Prediction with R

    Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistical Methods, Statistics, Predictive Analytics, Data Modeling, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Model Training, R (Software), Statistical Programming, Correlation Analysis

    4.7 stars, 6 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (6) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Glasgow

    Explainable Deep Learning Models for Healthcare

    Skills you'll gain: Autoencoders, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Machine Learning, Applied Machine Learning, Predictive Modeling, Responsible AI, Convolutional Neural Networks, Software Visualization, Artificial Neural Networks

    4.6 stars, 15 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (15) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Statistical Programming, Probability Distribution, Data Analysis, Statistical Software, Markov Model, Data Science, Statistical Modeling, Statistics, Statistical Inference, Probability, Correlation Analysis, R Programming

    Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Statistical Software, Statistical Programming, Statistical Methods, Correlation Analysis, Model Evaluation, Probability Distribution

    4.3 stars, 18 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.3 (18) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
1…678…468

In summary, here are 10 of our most popular probabilistic graphical models courses

  • Predict and Validate Regression Models in R: Coursera
  • Prediction Models with Sports Data: University of Michigan
  • Data Visualization and Modeling in Python: Duke University
  • Building Retrieval-Augmented Systems & Knowledge Graphs: Packt
  • Logistic Regression with R: Build & Predict: EDUCBA
  • Bayesian Statistics: Duke University
  • Data Modeling and Prediction with R: Duke University
  • Bayesian Statistical Concepts and Methods: Arizona State University
  • Explainable Deep Learning Models for Healthcare: University of Glasgow
  • Advanced Probability and Statistical Methods: Johns Hopkins University

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