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    • Probabilistic Graphical Models

    Probabilistic Graphical Models Courses Online

    Learn probabilistic graphical models for machine learning and AI. Understand how to use these models for representing and solving complex problems.

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    Explore the Probabilistic Graphical Models Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      773 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Predictive Models: Build, Explore Data & Deploy

      Skills you'll gain: Data Modeling, Classification And Regression Tree (CART), Data Validation, Statistical Analysis, Application Deployment

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Bayesian Statistics: Excel to Python A/B Testing

      Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Modeling, Predictive Analytics, Business Analytics, Statistical Methods, Advanced Analytics, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Machine Learning, Markov Model, Probability Distribution, Sampling (Statistics)

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      SAS: Apply & Evaluate Poisson & Negative Binomial Models

      Skills you'll gain: SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Predictive Modeling, Statistical Methods, Statistical Hypothesis Testing

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Probability Theory and Regression for Predictive Analytics

      Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      SPSS: Apply & Interpret Logistic Regression Models

      Skills you'll gain:

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Data Science, Quantitative Research, Machine Learning, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      53 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Probability and Random Variables

      Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Gen AI Foundational Models for NLP & Language Understanding

      Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods

      4.4
      Rating, 4.4 out of 5 stars
      ·
      153 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Regression Analysis: Simplify Complex Data Relationships

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      564 reviews

      Advanced · Course · 1 - 3 Months

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    1234…264

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

    • Advanced Statistics for Data Science: Johns Hopkins University
    • Predictive Models: Build, Explore Data & Deploy: EDUCBA
    • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
    • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
    • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
    • SPSS: Apply & Interpret Logistic Regression Models: EDUCBA
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Foundations of Probability and Random Variables: Johns Hopkins University

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