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    Results for "exponential random graph models"

    • 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, Statistical Modeling, Statistics, Statistical Inference, Probability, R Programming, Applied Mathematics

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Python Programming, Dimensionality Reduction, Bayesian Statistics, Statistical Modeling, Scikit Learn (Machine Learning Library), Unstructured Data, Probability & Statistics, Machine Learning, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Engineering Genetic Circuits: Modeling and Analysis

      Skills you'll gain: Bioinformatics, Mathematical Modeling, Engineering Analysis, Chemical and Biomedical Engineering, Simulations, Computational Logic, Differential Equations, Software Visualization, Molecular, Cellular, and Microbiology, Algorithms

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Modeling Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Statistical Methods, Statistical Analysis, Regression Analysis, Statistical Modeling, R Programming, Probability & Statistics, Advanced Analytics, Predictive Modeling, Mathematical Modeling, Statistical Hypothesis Testing, Data Validation, Probability

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Building on the SIR Model

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Epidemiology, Infectious Diseases, R Programming, Public Health

      4.7
      Rating, 4.7 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 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      102 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Applied Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Quantitative Model Checking

      Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Probability, Algorithms, Real-Time Operating Systems, Probability Distribution

      4.2
      Rating, 4.2 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Building an Ecosystem model with Insight Maker

      Skills you'll gain: Simulation and Simulation Software, Systems Thinking, Visualization (Computer Graphics), Data Modeling, Mathematical Modeling, Biology, Systems Analysis, Environment, Storytelling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      162 reviews

      Beginner · Guided Project · Less Than 2 Hours

    1…678…195

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

    • Advanced Probability and Statistical Methods: Johns Hopkins University
    • Natural Language Processing - Probability Models in Python: Packt
    • Engineering Genetic Circuits: Modeling and Analysis: University of Colorado Boulder
    • Modeling Time Series and Sequential Data: SAS
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Random Models, Nested and Split-plot Designs: Arizona State University
    • Building on the SIR Model: Imperial College London
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Sample-based Learning Methods: University of Alberta
    • Sequence Models: DeepLearning.AI

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