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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 Pennsylvania

    Modeling Risk and Realities

    Skills you'll gain: Risk Modeling, Risk Management, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Risk Analysis, Simulation and Simulation Software, Probability Distribution, Data-Driven Decision-Making, Decision Making, Statistical Hypothesis Testing, Statistical Analysis, Model Optimization, Microsoft Excel, Spreadsheet Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Model Optimization, Data Preprocessing, Model Training, Model Deployment, Statistical Analysis, Performance Metric, Deposit Accounts

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Logistic Regression with SAS: Build & Evaluate Models

    Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Predictive Analytics, Data Wrangling, Statistical Methods, Data Transformation, Statistical Analysis, Model Optimization, Graphing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Social Media Analytics, Data Analysis, Python Programming, Model Evaluation

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Encryption, Cryptography, Machine Learning Methods, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Data Presentation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, Statistical Software, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 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, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Data Pipelines, Machine Learning Methods, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • 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), Model Training, Data Preprocessing, Model Optimization, Python Programming, Data Manipulation, Pandas (Python Package), NumPy

    Intermediate · Course · 1 - 3 Months

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

  • Modeling Risk and Realities: University of Pennsylvania
  • Predictive Models: Build, Explore Data & Deploy: EDUCBA
  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Network Modeling and Analysis in Python: University of Michigan
  • Using probability distributions for real world problems in R: Coursera
  • Natural Language Processing - Probability Models in Python: Packt
  • Build and deploy a stroke prediction model using R: Coursera
  • Building Statistical Models in R: Linear Regression: Coursera
  • Advanced PyTorch Techniques and Applications: Packt
  • Practical Predictive Analytics: Models and Methods: University of Washington

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