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Results for "exponential random graph models"
Skills you'll gain: Generative AI, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Web Development, Data Ethics, Application Deployment, Web Applications, Automation, Interviewing Skills, CI/CD, Professional Networking
University of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods, Probability Distribution
University of California San Diego
Skills you'll gain: Apache Spark, PySpark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Infrastructure, Data Presentation, Scalability, Data Processing, Statistical Analysis, Databases, Data Architecture
University of California, Davis
Skills you'll gain: Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Scientific Visualization, Data Visualization Software, Data Analysis, Computational Thinking, Predictive Analytics
Duke University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Statistical Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Modeling, Probability & Statistics, Probability, Statistics, Data Science, Descriptive Statistics, Predictive Modeling
University of California, Santa Cruz
Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Software Design, Graph Theory, Computer Science, Software Testing, File Systems, Computational Thinking
Duke University
Skills you'll gain: Regression Analysis, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Statistical Methods, Exploratory Data Analysis, Predictive Modeling
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Database Design, Data Visualization, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, Tableau Software, Stored Procedure, Interactive Data Visualization, Regression Analysis, Data-Driven Decision-Making, Excel Formulas, Microsoft Excel
University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Dimensionality Reduction, Text Mining, Statistical Modeling, Machine Learning Algorithms, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Bayesian Network, Machine Learning
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Analysis, Computational Thinking, Network Routing
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science
In summary, here are 10 of our most popular exponential random graph models courses
- IBM AI Developer:Â IBM
- Sample-based Learning Methods:Â University of Alberta
- Big Data:Â University of California San Diego
- Social Network Analysis:Â University of California, Davis
- Data Analysis with R:Â Duke University
- C, Go, and C++: A Comprehensive Introduction to Programming:Â University of California, Santa Cruz
- Linear Regression and Modeling :Â Duke University
- IBM Business Intelligence (BI) Analyst:Â IBM
- Machine Learning: Clustering & Retrieval:Â University of Washington
- ML Parameters Optimization: GridSearch, Bayesian, Random:Â Coursera Project Network