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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: New
    New
    Status: Free Trial
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    Coursera

    Optimize AI: Build & Evaluate Predictive Models

    Skills you'll gain: Machine Learning Methods, Predictive Modeling, Model Training, Statistical Machine Learning, Model Optimization, Performance Analysis, Performance Metric, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Descriptive Statistics, Box Plots, Geospatial Mapping, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, R (Software), Statistical Programming, Data Preprocessing, Simulations, Package and Software Management

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Quantifying Relationships with Regression Models

    Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Methods, Statistics, Data Analysis, Statistical Modeling, Statistical Analysis, Mathematical Modeling, Probability & Statistics, Predictive Modeling, Probability

    4.6
    Rating, 4.6 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 4 Weeks

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    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: Predictive Modeling, SAS (Software), Logistic Regression, Model Evaluation, Predictive Analytics, Statistical Modeling, Model Training, Statistical Software, Regression Analysis, Business Analytics, Supervised Learning, Statistical Analysis, Data Preprocessing, Statistical Methods, Feature Engineering, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
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    63 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    EDUCBA

    Logistic Regression with R: Build & Predict

    Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Model Optimization, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Applied Machine Learning, Regression Analysis, Predictive Analytics, Machine Learning Methods, Supervised Learning, Credit Risk, Dimensionality Reduction

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Illinois Tech

    Bayesian Computational Statistics

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

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    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
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    323 reviews

    Mixed · 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 Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    33 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy

    4.4
    Rating, 4.4 out of 5 stars
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    17 reviews

    Mixed · Course · 1 - 4 Weeks

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    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, Exploratory Data Analysis, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, MLOps (Machine Learning Operations), Predictive Analytics, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
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    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, Model Optimization

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Predictive Analytics with SAS: Build & Deploy Models

    Skills you'll gain: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Predictive Modeling, Advanced Analytics, Regression Analysis, Statistical Modeling, Business Analytics, Data Preprocessing, Data-Driven Decision-Making, Data Mining, Feature Engineering, Model Training, Statistical Methods, Statistical Analysis, Decision Tree Learning, Data Transformation, Model Optimization, Artificial Neural Networks

    Mixed · Course · 1 - 3 Months

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

  • Optimize AI: Build & Evaluate Predictive Models: Coursera
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Quantifying Relationships with Regression Models: Johns Hopkins University
  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Logistic Regression with R: Build & Predict: EDUCBA
  • Bayesian Computational Statistics: Illinois Tech
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Build and deploy a stroke prediction model using R: Coursera
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Tidymodels in R: Building tidy machine learning models: Coursera

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