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  • Exponential Random Graph Models

Results for "exponential random graph models"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence, Machine Learning Methods, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Transformer Models and BERT Model

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Transfer Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    125 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Algorithms on Graphs

    Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Data Structures, Network Analysis, Network Model

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Network Model, Graph Theory, Data Analysis, Predictive Analytics, Python Programming, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Probability, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    108 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Quantifying Relationships with Regression Models

    Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability & Statistics, Predictive Modeling, Probability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Statistical Methods, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    191 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Social Sciences, Sociology, Socioeconomics, Game Theory, Behavioral Economics, Mathematical Modeling, Statistical Modeling, Bayesian Statistics, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    759 reviews

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Image Generation

    Skills you'll gain: Generative AI, Model Deployment, Generative Model Architectures, Cloud Deployment, Model Training

    4.5
    Rating, 4.5 out of 5 stars
    ·
    196 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular exponential random graph models courses

  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Transformer Models and BERT Model: Google Cloud
  • Foundations for Machine Learning: Dartmouth College
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Algorithms on Graphs: University of California San Diego
  • Applied Social Network Analysis in Python: University of Michigan
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Quantifying Relationships with Regression Models: Johns Hopkins University
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University

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