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    • Probabilistic Graphical Models

    Probabilistic Graphical Models Courses Online

    Learn probabilistic graphical models for machine learning and AI. Understand how to use these models for representing and solving complex problems.

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    Explore the Probabilistic Graphical Models Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Anatomy

      Skills you'll gain: Anatomy, Pulmonology, Cardiology, Respiration, Gynecology, Obstetrics And Gynecology, Orthopedics, Neurology, Urology, Kinesiology, Medical Imaging, Vital Signs, General Medicine, Biology, Medical Terminology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Linear Algebra, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Interaction Design

      Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Usability, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, Human Centered Design, A/B Testing, Usability Testing, User Centered Design, Mockups, Human Computer Interaction, Human Factors, Collaborative Software, Telecommuting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cloud Computing

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Technologies, Cloud Infrastructure, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Cloud Storage, Infrastructure As A Service (IaaS), Emerging Technologies, Cloud-Native Computing, Cloud Management, Hybrid Cloud Computing, Virtual Machines, Serverless Computing, Technical Services

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Understanding Large Language Models in Business

      Skills you'll gain: Large Language Modeling, Trend Analysis, Real Time Data, Analytics, OpenAI, Business Marketing, Prompt Engineering, Business Strategy, Application Programming Interface (API), Business Modeling, Generative AI, ChatGPT, Technology Roadmaps, Software Development, Natural Language Processing, Artificial Neural Networks, Content Marketing, Artificial Intelligence, Customer experience improvement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Work Smarter with Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Data Visualization, Spreadsheet Software, Microsoft 365, Productivity Software, Data Import/Export, Data Management, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Getting started with Google Workspace

      Skills you'll gain: Google Docs, Gmail, Google Sheets, Google Workspace, Presentations, Calendar Management, Spreadsheet Software, File Management, Excel Formulas, Email Security, Data Visualization, Productivity Software, Collaborative Software, Data Validation, Document Management, Setting Appointments, Meeting Facilitation, Sales Presentations, Version Control, Virtual Teams

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Logic and Critical Thinking

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Computational Logic, Probability, Sampling (Statistics), Persuasive Communication, Research, Writing, Statistics, Scientific Methods, Oral Expression, Correlation Analysis, Interpersonal Communications, Interactive Learning, Learning Strategies, Instructional Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Graph Analytics for Big Data

      Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Data Structures, Query Languages, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Anatomy: University of Michigan
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Generative AI: Introduction and Applications: IBM
    • Interaction Design: University of California San Diego
    • Introduction to Cloud Computing: IBM
    • Understanding Large Language Models in Business: Coursera Instructor Network
    • Work Smarter with Microsoft Excel: Microsoft
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Getting started with Google Workspace: Google Cloud
    • Introduction to Logic and Critical Thinking: Duke University

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