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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
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm

    4.1
    Rating, 4.1 out of 5 stars
    ·
    322 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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, Market Data, Analytics, Regression Analysis, Pandas (Python Package), Python Programming, Probability & Statistics, Data Ethics, Probability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Finetuning Large Language Models

    Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, AI Personalization, Network Model

    4.6
    Rating, 4.6 out of 5 stars
    ·
    585 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    V

    Vanderbilt University

    Generative AI and Model Selection

    Skills you'll gain: Generative Model Architectures, Generative AI, Prompt Engineering, Applied Machine Learning, LLM Application, Large Language Modeling, Application Deployment, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    How Diffusion Models Work

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Prompt Engineering, Sampling (Statistics), Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    272 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    P

    Packt

    Data Science Model Deployments and Cloud Computing on GCP

    Skills you'll gain: Docker (Software), CI/CD, Cloud Computing Architecture, Application Performance Management, Apache Spark, Google App Engine

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting, Machine Learning, Machine Learning Algorithms, Responsible AI, Artificial Neural Networks, Data Processing, Healthcare Ethics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 3 Months

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

  • Machine Learning: Regression: University of Washington
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Prediction Models with Sports Data: University of Michigan
  • Finetuning Large Language Models: DeepLearning.AI
  • Generative AI and Model Selection: Vanderbilt University
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • How Diffusion Models Work: DeepLearning.AI
  • Data Science Model Deployments and Cloud Computing on GCP: Packt

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