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  • Exponential Random Graph Models

Results for "exponential random graph models"


  • Status: New
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    Coursera

    Train ML Models

    Skills you'll gain: Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Applied Machine Learning, Supervised Learning, Geospatial Mapping, Predictive Modeling, Image Analysis, Verification And Validation, Data Science, Environmental Engineering

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization

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

    Advanced · Specialization · 3 - 6 Months

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    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution

    4.4
    Rating, 4.4 out of 5 stars
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    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, OpenAI API, Multimodal Prompts, Responsible AI, AI Security, Autoencoders, Model Deployment, Fine-tuning, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Optimize AI: Build & Evaluate Predictive Models

    Skills you'll gain: Machine Learning Methods, Predictive Modeling, Model Training, Statistical Machine Learning, Machine Learning Software, Model Optimization, Performance Analysis, Performance Metric, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

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  • Status: New
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    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Infectious Disease Modelling

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

    4.8
    Rating, 4.8 out of 5 stars
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    304 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Optimize and Deploy Edge AI Models

    Skills you'll gain: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Optimize ML Models: Hyperparameter Tuning

    Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

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

  • Train ML Models: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Regression Models: Johns Hopkins University
  • Generative AI and Large Language Models: Coursera
  • Optimize AI: Build & Evaluate Predictive Models: Coursera
  • Deploy ML Models to Production: KodeKloud
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Predict and Validate Regression Models in R: Coursera
  • Infectious Disease Modelling: Imperial College London

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