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    Results for "bayesian network"

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      E

      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      799 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      C

      Coursera Instructor Network

      GenAI for Risk Management Essentials

      Skills you'll gain: Responsible AI, Enterprise Risk Management (ERM), Risk Management Framework, AI Product Strategy, Risk Management, Governance Risk Management and Compliance, Data Ethics, Business Risk Management, Compliance Management, Generative AI Agents, Risk Mitigation, Risk Analysis, Regulatory Compliance, Governance, Mitigation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Artificial Intelligence for Breast Cancer Detection

      Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Diagnostic Radiology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Epidemiology, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Probability and Random Variables

      Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Network Visualization and Intervention

      Skills you'll gain: Data Visualization, Network Analysis, Relational Databases, Data Visualization Software, Social Network Analysis, Data Storytelling, Database Theory, Data Analysis, Data Manipulation, Human Factors, Innovation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      ISC2

      Network Security

      Skills you'll gain: Network Security, Cybersecurity, Cyber Attacks, Infrastructure Security, Threat Detection, Computer Networking, Data Centers, General Networking, Threat Management, Network Planning And Design, Firewall, Network Protocols, Cloud Computing, TCP/IP, Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      236 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Probability and Statistical Methods

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

      Intermediate · Course · 1 - 3 Months

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

      University of Michigan

      Network Modeling and Analysis in Python

      Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    1234…412

    In summary, here are 10 of our most popular bayesian network courses

    • Foundational Mathematics for AI: Johns Hopkins University
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Improving your statistical inferences: Eindhoven University of Technology
    • Computational and Graphical Models in Probability: Johns Hopkins University
    • GenAI for Risk Management Essentials: Coursera Instructor Network
    • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
    • Foundations of Probability and Random Variables: Johns Hopkins University
    • Network Visualization and Intervention: Johns Hopkins University
    • Network Security: ISC2
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz

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