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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 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

  • Status: Preview
    Preview
    E

    EDUCBA

    SAS: Apply & Evaluate Poisson & Negative Binomial Models

    Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Statistical Software, Regression Analysis, Statistical Analysis, Model Evaluation, Predictive Modeling, Statistical Methods, Probability Distribution

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    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 Wrangling, Simulations, Package and Software Management

    Intermediate · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Quantitative Model Checking

    Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Process Modeling, Probability, Algorithms, Probability Distribution, Logical Reasoning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    L

    Lund University

    Digital Business Models

    Skills you'll gain: Business Modeling, Digital Transformation, Digital Analysis, Innovation, Software As A Service, Software Development, Network Analysis, Business Strategy, Business Strategies, E-Commerce, Value Propositions, Decision Making, Case Studies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    572 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Interest Rate Models

    Skills you'll gain: Portfolio Risk, Derivatives, Financial Market, Risk Modeling, Securities (Finance), Futures Exchange, Risk Management, Investments, Financial Modeling, Market Data, Portfolio Management, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    197 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Model Training, Model Deployment, Python Programming, Scalability, Model Optimization, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Deploying Open Models

    Skills you'll gain: Model Deployment, Docker (Software), Containerization, Cloud Deployment, Application Deployment, MLOps (Machine Learning Operations), Hugging Face, Generative AI, Cloud Computing Architecture, Serverless Computing, Cloud Hosting, Cloud Technologies, Cloud Platforms, Security Controls, System Monitoring, Configuration Management, Release Management, Infrastructure Security, Continuous Monitoring, Application Performance Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, MLOps (Machine Learning Operations), Performance Tuning, Prompt Patterns, OpenAI API

    4.4
    Rating, 4.4 out of 5 stars
    ·
    313 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    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
    Rating, 4.6 out of 5 stars
    ·
    279 reviews

    Intermediate · Project · Less Than 2 Hours

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

    Coursera

    Train ML Models

    Skills you'll gain: Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Applied Machine Learning, Supervised Learning, Geospatial Mapping, Predictive Modeling, Image Analysis, Verification And Validation, Data Science, Environmental Engineering

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Finetuning Large Language Models

    Skills you'll gain: Fine-tuning, Large Language Modeling, Model Training, Prompt Engineering, Retrieval-Augmented Generation, Model Optimization, Transfer Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    618 reviews

    Intermediate · Project · Less Than 2 Hours

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

  • Practical Predictive Analytics: Models and Methods: University of Washington
  • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Quantitative Model Checking: 28DIGITAL
  • Digital Business Models: Lund University
  • Interest Rate Models: École Polytechnique Fédérale de Lausanne
  • Generative AI with Large Language Models: DeepLearning.AI
  • Deploying Open Models: Coursera
  • Large Language Model Operations (LLMOps): Duke University
  • How Diffusion Models Work: DeepLearning.AI

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