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    Results for "exponential random graph models"

    • G

      Google Cloud

      Transformer Models and BERT Model

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI, Artificial Neural Networks

      4.1
      Rating, 4.1 out of 5 stars
      ·
      120 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      Duke University

      Foundations of Local Large Language models

      Skills you'll gain: Generative AI, Cloud Applications, Application Deployment, Large Language Modeling, Other Programming Languages, Data Ethics, MLOps (Machine Learning Operations), Prompt Engineering, Statistical Programming, Risk Management Framework, Natural Language Processing, Performance Testing, Command-Line Interface, Rust (Programming Language)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      Stanford University

      Social and Economic Networks: Models and Analysis

      Skills you'll gain: Network Analysis, Social Sciences, Sociology, Economics, Policy, and Social Studies, Game Theory, Behavioral Economics, Mathematical Modeling, Markov Model, Bayesian Statistics, Probability Distribution, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      756 reviews

      Advanced · Course · 1 - 3 Months

    • 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, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      F

      Fractal Analytics

      How to Build a Diffusion Model - An Introduction

      Skills you'll gain: Generative AI, Deep Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Tensorflow, Image Analysis, Software Architecture, Artificial Neural Networks, Machine Learning, Natural Language Processing, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • 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: Preview
      Preview
      E

      Erasmus University Rotterdam

      Multilevel Modeling

      Skills you'll gain: R Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Analysis, Advanced Analytics, Data Modeling

      3.8
      Rating, 3.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Social Network Analysis in Python

      Skills you'll gain: Network Analysis, Network Model, Graph Theory, Data Analysis, Pandas (Python Package), Applied Machine Learning, Matplotlib, Predictive Modeling, Python Programming, Simulations, Algorithms

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

      Intermediate · Course · 1 - 4 Weeks

    • 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
      Free
      D

      DeepLearning.AI

      How Diffusion Models Work

      Skills you'll gain: Generative AI, Jupyter, PyTorch (Machine Learning Library), Image Analysis, Sampling (Statistics), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      270 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Large Language Models

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Regression Modeling in Practice

      Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Predictive Modeling, Statistical Hypothesis Testing, Plot (Graphics), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 4 Weeks

    1…456…195

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

    • Transformer Models and BERT Model: Google Cloud
    • Foundations of Local Large Language models: Duke University
    • Social and Economic Networks: Models and Analysis: Stanford University
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • How to Build a Diffusion Model - An Introduction: Fractal Analytics
    • Advanced Probability and Statistical Methods: Johns Hopkins University
    • Multilevel Modeling: Erasmus University Rotterdam
    • Applied Social Network Analysis in Python: University of Michigan
    • Natural Language Processing - Probability Models in Python: Packt
    • How Diffusion Models Work: DeepLearning.AI

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