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  • Exponential Random Graph Models

Results for "exponential random graph models"


  • 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 (2.3K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (2.7K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (23) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning Operations with Vertex AI: Model Evaluation

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (489) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    Edureka

    Prompt Engineering for LLMs

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, LangChain, Large Language Modeling, Responsible AI, AI Security, OpenAI, Generative AI, AI Personalization, Context Management, Natural Language Processing, CI/CD, Test Automation, Python Programming, Pandas (Python Package), Scalability, Application Development

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Introduction to Image Generation

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

    ★ 4.5 (196) · Beginner · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • U

    University of California San Diego

    Graph Analytics for Big Data

    Skills you'll gain: Graph Theory, Network Model, Database Design, Big Data, Graphing, Apache Spark, Network Analysis, Analytics, Data Store, Data Management, Query Languages, Computing Platforms, Scalability, Distributed Computing, Algorithms

    ★ 4.3 (1.3K) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (304) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability, Probability Distribution, Simulations, Statistical Modeling, Statistical Methods, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    How Diffusion Models Work

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, AI Personalization, Model Training, Sampling (Statistics), Artificial Neural Networks, Algorithms

    ★ 4.6 (279) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Model Optimization, Data Modeling, Public Health and Disease Prevention, Immunology, R Programming, Regression Analysis, Differential Equations, Statistical Methods, Public Health, Statistical Programming, Probability Distribution

    ★ 4.7 (56) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…456…302

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

  • Algorithms on Graphs: University of California San Diego
  • Applied Social Network Analysis in Python: University of Michigan
  • Quantifying Relationships with Regression Models: Johns Hopkins University
  • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Prompt Engineering for LLMs: Edureka
  • Introduction to Image Generation: Google Cloud
  • Graph Analytics for Big Data: University of California San Diego
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Random Processes: Johns Hopkins University

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