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  • Exponential Random Graph Models

Results for "exponential random graph models"


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Data Structures in Java

    Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Inference, Statistical Analysis, Artificial Intelligence

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    266 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part II

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Computer Programming, Network Routing, Cryptography, Java Programming, Linear Algebra

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Classification And Regression Tree (CART), Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Probability & Statistics, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, File Systems, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    MapReduce with Hadoop: Analyze, Design & Deploy

    Skills you'll gain: Apache Hadoop, Big Data, Data Infrastructure, Social Network Analysis, Data Processing, Program Development, Distributed Computing, Java, Text Mining, Graph Theory, File Systems, Debugging

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • E

    EIT Digital

    I/O-efficient algorithms

    Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Computer Hardware

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Process Optimization, Forecasting, Predictive Analytics, Business Analytics, Simulation and Simulation Software, Probability, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Responsible AI, OpenAI, ChatGPT, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, LLM Application, Strategic Leadership, Risking, Business Ethics, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Business Development, Deep Learning, Content Creation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Delivery Problem

    Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Data-oriented programming, Operations Research, Python Programming, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    375 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Advanced Data Structures in Java: University of California San Diego
  • Probability Foundations for Data Science and AI: University of Colorado Boulder
  • Algorithms, Part II: Princeton University
  • Advanced Learning Algorithms: DeepLearning.AI
  • Algorithms: Stanford University
  • Data Structures and Algorithms: University of California San Diego
  • MapReduce with Hadoop: Analyze, Design & Deploy: EDUCBA
  • Machine Learning: DeepLearning.AI
  • I/O-efficient algorithms: EIT Digital
  • Fundamentals of Quantitative Modeling: University of Pennsylvania

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