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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


  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Generative AI for Data Science with Copilot

    Skills you'll gain: Generative AI, Microsoft Copilot, Generative Model Architectures, Generative Adversarial Networks (GANs), Responsible AI, Data Ethics, Data Security, Information Privacy, Anomaly Detection, Model Evaluation, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Inference

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Statistics, Probability, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Mathematical Theory & Analysis

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Statistical Thinking & Predictive Modeling

    Skills you'll gain: Descriptive Statistics, Data Analysis, Predictive Modeling, Predictive Analytics, Data Literacy, Statistical Modeling, Business Analytics, Statistical Hypothesis Testing, Exploratory Data Analysis, Data-Driven Decision-Making, Customer Analysis, Statistical Machine Learning, Data Science, Model Evaluation, Scikit Learn (Machine Learning Library), Statistical Analysis, Feature Engineering, Data Visualization, Statistical Inference, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Model Evaluation and Benchmarking

    Skills you'll gain: Generative AI, Model Evaluation, Dashboard Creation, Dashboard, Image Quality, Embeddings, Image Analysis, Large Language Modeling, Data Visualization, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Foundations for Machine Learning

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

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Hands-On Data Science with PyTorch & Pandas

    Skills you'll gain: Shiny (R Package), PyTorch (Machine Learning Library), Dashboard, Dashboard Creation, Python Programming, Interactive Data Visualization, Data Visualization, Data Visualization Software, Pandas (Python Package), Image Analysis, Applied Machine Learning, AI Workflows, Machine Learning Methods, Data Science, Computer Programming, Web Frameworks, Application Development, UI Components, Web Development Tools, User Interface (UI)

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad: principios de Inferencia

    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

    3.1
    Rating, 3.1 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Predictive Modeling with Python

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Statistical Machine Learning, Predictive Analytics, Statistical Methods, Data Analysis, Analytics, Applied Machine Learning, Business Analytics, Machine Learning Methods, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Python Programming, Data Manipulation, Pandas (Python Package), NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Software, Sampling (Statistics), Mathematical Modeling, Regression Analysis, R Programming, Simulations, Statistical Inference, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    497 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Generative AI for Data Science with Copilot: Microsoft
  • Statistical Inference: Johns Hopkins University
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Statistical Thinking & Predictive Modeling: Coursera
  • Model Evaluation and Benchmarking: Coursera
  • Foundations for Machine Learning: Dartmouth College
  • Data Modeling and Prediction with R: Duke University
  • Hands-On Data Science with PyTorch & Pandas: Packt
  • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México

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