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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


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Prediction Models with Sports Data

    Skills you'll gain: Forecasting, Data Processing, Predictive Modeling, Data Analysis, Risk Modeling, Market Data, Analytics, Regression Analysis, Pandas (Python Package), Python Programming, Probability & Statistics, Probability, Ethical Standards And Conduct

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    713 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · 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, R Programming, Bayesian Statistics, Advanced Analytics, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Data Analysis, Mathematical Modeling, Probability Distribution

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    AI Enhancement with Knowledge Graphs - Mastering RAG Systems

    Skills you'll gain: LLM Application, Semantic Web, Large Language Modeling, Prompt Engineering, Graph Theory, Generative AI, Query Languages, Artificial Intelligence, Systems Integration, Data Visualization Software, Unstructured Data, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Probability and Statistics

    Skills you'll gain: Data Analysis, Statistical Analysis, Analytics, Statistical Modeling, Predictive Modeling, Applied Mathematics, Data Visualization

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Knowledge Graphs for RAG

    Skills you'll gain: LangChain, Large Language Modeling, Query Languages, Data Storage, Semantic Web, Unstructured Data, Graph Theory, Text Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Transformer Models and BERT Model

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Artificial Neural Networks

    4.1
    Rating, 4.1 out of 5 stars
    ·
    124 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, R Programming, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

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

  • Prediction Models with Sports Data: University of Michigan
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Introduction to Probability and Data with R: Duke University
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • AI Enhancement with Knowledge Graphs - Mastering RAG Systems: Packt
  • Bayesian Statistics: Duke University
  • Bayesian Computational Statistics: Illinois Tech
  • Probability and Statistics: Birla Institute of Technology & Science, Pilani
  • Knowledge Graphs for RAG: DeepLearning.AI

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