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  • Exponential Random Graph Models

Results for "exponential random graph models"


  • 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
    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
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Prompt Patterns, Large Language Modeling, Software Architecture, Computer Vision, LangChain, Responsive Web Design, Restful API, LLM Application, Generative AI, Flask (Web Framework), Responsible AI, IBM Cloud, Data Import/Export, Python Programming, Engineering Software, Workflow Management, Machine Learning, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    79K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74K reviews

    Beginner · 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
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Probability & Statistics, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python for Everybody

    Skills you'll gain: Data Processing, Web Scraping, Data Store, Relational Databases, Data Visualization, Database Design, SQL, Web Services, Restful API, Databases, JSON, Interactive Data Visualization, Extensible Markup Language (XML), Data Modeling, Data Structures, Programming Principles, Database Management, Data Analysis, Python Programming, Computer Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    279K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Data Manipulation, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34K reviews

    Intermediate · Specialization · 3 - 6 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
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C++ For C Programmers, Part B

    Skills you'll gain: C++ (Programming Language), Software Design Patterns, Object Oriented Programming (OOP), Computer Programming, C (Programming Language), Algorithms, Graph Theory, Artificial Intelligence, Data Structures, Game Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    332 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    ChatGPT + Excel: AI-Enhanced Data Analysis & Insight

    Skills you'll gain: Data Storytelling, Prompt Engineering, ChatGPT, Prompt Patterns, Excel Macros, Excel Formulas, Microsoft Excel, LLM Application, Productivity, OpenAI, Data Visualization, Data Analysis, Generative AI, Artificial Intelligence, Data Cleansing, Large Language Modeling, Data Integration, Data Transformation, Data Validation, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.4K reviews

    Beginner · Specialization · 1 - 3 Months

1…262728…224

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

  • Algorithms, Part II: Princeton University
  • Algorithms: Stanford University
  • IBM AI Developer: IBM
  • Data Science Fundamentals with Python and SQL: IBM
  • MapReduce with Hadoop: Analyze, Design & Deploy: EDUCBA
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Python for Everybody: University of Michigan
  • Applied Data Science with Python: University of Michigan
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Applied Machine Learning in Python: University of Michigan

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