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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


  • 2

    28DIGITAL

    System Validation: Automata and behavioural equivalences

    Skills you'll gain: Verification And Validation, Theoretical Computer Science, System Testing, Embedded Software, Software Systems, Communication Systems, Systems Design, System Design and Implementation, Embedded Systems, Automation, Process Modeling, Behavioral Management, System Configuration, Markov Model

    4.4
    Rating, 4.4 out of 5 stars
    ·
    183 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Maryland, College Park

    Programming Mobile Applications for Android Handheld Systems: Part 2

    Skills you'll gain: Android (Operating System), Android Development, Mobile Development, Data Management, User Interface (UI), Human Computer Interaction, Event-Driven Programming, Network Model, Geographic Information Systems, Interactive Design, Geospatial Information and Technology, Data Storage, Animations, Computer Programming, Computer Graphics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    172 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of California, Irvine

    Data Warehousing and Business Intelligence

    Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Mining, Business Intelligence, Star Schema, Snowflake Schema, Data Modeling, Data Architecture, Unsupervised Learning, Business Analytics, Data-Driven Decision-Making, Machine Learning Methods, Databases, Predictive Modeling, Cloud Computing, Supervised Learning, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    131 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Use Power Platform for Custom & Automated Solutions

    Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, No-Code Development, Process Design, Business Process Automation, Application Development, Application Design, Automation, Business Process, Driving engagement, Data Integration, Data Access, User Interface (UI), Data Modeling

    3.7
    Rating, 3.7 out of 5 stars
    ·
    70 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Data Mining Foundations and Practice

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Data Warehousing, Machine Learning Methods, Supervised Learning, Data Pipelines, Data Preprocessing, Classification Algorithms, Data Processing, Data Modeling, Decision Tree Learning, Data Science, Data Management, Machine Learning Algorithms, Data Cleansing, Model Evaluation, Analytical Skills, Ideation, Exploratory Data Analysis

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    184 reviews

    Intermediate · Specialization · 1 - 3 Months

  • N

    New York University

    Overview of Advanced Methods of Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Market Dynamics, Markov Model, Financial Modeling, Machine Learning Methods, Financial Data, Credit Risk, General Lending, Machine Learning, Differential Equations

    3.8
    Rating, 3.8 out of 5 stars
    ·
    85 reviews

    Advanced · Course · 1 - 4 Weeks

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Large Language Modeling, Data Processing, Data Management, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    51 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Data Mining Pipeline

    Skills you'll gain: Data Mining, Data Warehousing, Data Pipelines, Data Preprocessing, Data Processing, Data Modeling, Data Management, Data Science, Data Cleansing, Model Evaluation, Exploratory Data Analysis

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    119 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Artificial Intelligence Data Fairness and Bias

    Skills you'll gain: Data Ethics, Responsible AI, Data Collection, Game Theory, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Decision Intelligence, Artificial Intelligence, Model Evaluation, Predictive Modeling, Mitigation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    123 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    SkillUp

    Power BI Data Analyst Prep

    Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Power BI, Data Visualization, Dashboard Creation, Interactive Data Visualization, Analytics, Data Analysis, Data Modeling, Data Visualization Software, Advanced Analytics, Data Analysis Expressions (DAX), Statistical Analysis, Star Schema, Data Cleansing, Data Transformation, Data Import/Export, Data Security, Security Controls

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Columbia University

    Decision Making and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Decision Intelligence, Markov Model, Deep Learning, Applied Machine Learning, Statistical Methods, Sampling (Statistics)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Mathematical Software, Code Reusability, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Data Analysis, Computer Programming, Model Optimization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • System Validation: Automata and behavioural equivalences: 28DIGITAL
  • Programming Mobile Applications for Android Handheld Systems: Part 2: University of Maryland, College Park
  • Data Warehousing and Business Intelligence: University of California, Irvine
  • Use Power Platform for Custom & Automated Solutions: Microsoft
  • Data Mining Foundations and Practice: University of Colorado Boulder
  • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Data Mining Pipeline: University of Colorado Boulder
  • Artificial Intelligence Data Fairness and Bias : LearnQuest
  • Power BI Data Analyst Prep: SkillUp

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