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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


  • E

    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, Risk Modeling, Applied Machine Learning, Regression Analysis, Predictive Analytics, Machine Learning Methods, Financial Modeling, Machine Learning, Supervised Learning, Credit Risk, Analytics, Performance Metric, Dimensionality Reduction, Data Science

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, Statistical Software, Probability, Analysis, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution

    ★ 3.8 (801) · Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Building Retrieval-Augmented Systems & Knowledge Graphs

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Artificial Intelligence and Machine Learning (AI/ML), Agentic Workflows, Generative AI Agents, AI Integrations, Artificial Intelligence, Large Language Modeling, Taxonomy, Agentic systems, Scalability, Python Programming, System Design and Implementation, Machine Learning, Graph Theory

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • E

    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Model Training, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Cleansing, Model Optimization

    Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
  • D

    DeepLearning.AI

    How Diffusion Models Work

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

    ★ 4.6 (280) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
  • A

    Arizona State University

    Probability, Statistical Inference and Regression Analysis

    Skills you'll gain: Statistics, Probability & Statistics, Analytics, Exploratory Data Analysis, Estimation, Logistic Regression

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Deep Learning, Algorithms, Data Cleansing, Probability & Statistics

    ★ 4.7 (1.8K) · Intermediate · Course · 1 - 4 Weeks

    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

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

    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Statistical Software, Statistical Programming, Regression Analysis, Statistical Methods, Correlation Analysis, Mathematical Modeling, Statistical Inference, Model Evaluation, Probability Distribution

    ★ 4.3 (18) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • U

    University of Colorado Boulder

    Computational Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Data Science, Statistical Machine Learning, Statistical Methods, Statistical Software, Statistical Analysis, Mathematics and Mathematical Modeling, Computational Logic, Statistical Inference, Probability & Statistics, Machine Learning Methods, Computational Thinking

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
  • 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: Free Trial
    Free Trial
  • A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
1…678…455

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

  • Logistic Regression with R: Build & Predict: EDUCBA
  • Bayesian Statistics: Duke University
  • Building Retrieval-Augmented Systems & Knowledge Graphs: Packt
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • How Diffusion Models Work: DeepLearning.AI
  • Probability, Statistical Inference and Regression Analysis: Arizona State University
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Model Evaluation and Benchmarking: Coursera
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • Computational Bayesian Statistics for Data Science: University of Colorado Boulder

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