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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
    G

    Google

    Suporte em TI do Google

    Skills you'll gain: Systems Administration, Operating System Administration, Information Systems Security, Network Troubleshooting, Remote Access Systems, Computer Networking, IT Infrastructure, OSI Models, Desktop Support, Application Security, Security Strategy, Network Administration, Server Administration, Security Awareness, Network Security, Technical Support, Microsoft Windows, Computer Hardware, Software Installation, Help Desk Support

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Classification and Planned Experiments

    Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Star Schemas & Track Changes

    Skills you'll gain: Star Schema, Data Warehousing, Looker (Software), Database Design, Data Mart, Data Modeling, Business Intelligence, Extract, Transform, Load, Data Integrity, Data Transformation, Performance Tuning, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Microsoft

    Microsoft Business Analyst

    Skills you'll gain: Microsoft Power Platform, Excel Formulas, Process Flow Diagrams, Business Process Modeling, User Story, Business Requirements, Stakeholder Management, Data Modeling, Microsoft Excel, Software Development Life Cycle, Requirements Analysis, Requirements Elicitation, Quality Management, Diagram Design, Pivot Tables And Charts, Microsoft Visio, Power BI, Microsoft Power Automate/Flow, Business Analysis, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    CertNexus

    CSC: Secure Software Testing and Maintenance

    Skills you'll gain: Security Testing, Application Security, Open Web Application Security Project (OWASP), Software Testing, Secure Coding, Test Tools, Regression Testing, Unit Testing, Penetration Testing, Security Controls, Computer Security, Test Driven Development (TDD), Debugging, User Acceptance Testing (UAT), Computer Programming, Python Programming, Node.JS, Information Privacy, JavaScript Frameworks, Javascript

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Power BI Developer and Architect

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Interactive Data Visualization, Data Modeling, Azure Synapse Analytics, Microsoft Azure, Business Reporting, Database Design, Data Lakes, Business Intelligence, Enterprise Architecture, Enterprise Security, Data Governance, Data Management, Performance Analysis, Solution Architecture, Governance, Analytics, Automation, Regulation and Legal Compliance

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Generative AI Foundations in Python

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Responsible AI, Model Deployment, Large Language Modeling, Generative Adversarial Networks (GANs), Natural Language Processing, Embeddings, Transfer Learning, Artificial Intelligence, Python Programming, Machine Learning, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Computer Programming Tools, Applied Mathematics, Computer Graphics, Web Design and Development, Software Development Tools, Cybersecurity, Computational Thinking, Computer Programming, General Mathematics, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
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    1.5K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Data Preprocessing, Artificial Intelligence, Recurrent Neural Networks (RNNs)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    393 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Suporte em TI do Google: Google
  • Classification and Planned Experiments: Arizona State University
  • Star Schemas & Track Changes: Coursera
  • IBM Introduction to Machine Learning: IBM
  • Microsoft Business Analyst: Microsoft
  • CSC: Secure Software Testing and Maintenance: CertNexus
  • Microsoft Power BI Developer and Architect: Microsoft
  • Generative AI Foundations in Python: Packt
  • Introduction to Computer Science and Programming: University of London
  • Generative AI and LLMs: Architecture and Data Preparation: IBM

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