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Results for "exponential random graph models"
Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Mathematical Modeling, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning
Johns Hopkins University
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Statistics, Applied Machine Learning, Probability & Statistics, Statistical Methods, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Mathematical Modeling
University of California San Diego
Skills you'll gain: Graph Theory, Big Data, Apache Spark, Network Analysis, Analytics, Data Management, Database Systems, Analytical Skills, Data Structures, Query Languages, Computing Platforms, Scalability, Algorithms
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Applied Machine Learning, Text Mining, Machine Learning
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
- Status: Free
Duke University
Skills you'll gain: Generative AI, Application Deployment, Cloud Computing, Other Programming Languages, Data Ethics, MLOps (Machine Learning Operations), Artificial Intelligence, Risk Management Framework, Natural Language Processing, Open Source Technology, Rust (Programming Language)
LearnQuest
Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Machine Learning, Performance Tuning, Python Programming
Skills you'll gain: Generative AI, ChatGPT, OpenAI, Data Ethics, Leadership and Management, Business Leadership, Strategic Leadership, Business Ethics, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Content Creation, Business Transformation, New Business Development, Socioeconomics, Software Development Tools
DeepLearning.AI
Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning Methods, Artificial Intelligence, Text Mining, Data Processing
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing
Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Statistics, Unsupervised Learning, Probability & Statistics
Duke University
Skills you'll gain: Presentations, Data Storytelling, Data Presentation, Database Design, MySQL, Relational Databases, SQL, Data Visualization, Business Analytics, Business Metrics, Data Visualization Software, Business Process Improvement, Business Intelligence, Tableau Software, Financial Modeling, Microsoft Excel, Excel Formulas, Business Process, Probability Distribution, Business Risk Management
In summary, here are 10 of our most popular exponential random graph models courses
- Computational and Graphical Models in Probability:Â Johns Hopkins University
- Statistical Methods for Computer Science:Â Johns Hopkins University
- Graph Analytics for Big Data:Â University of California San Diego
- Sequence Models:Â DeepLearning.AI
- Foundations of Probability and Random Variables:Â Johns Hopkins University
- Foundations of Local Large Language models:Â Duke University
- Neural Networks and Random Forests:Â LearnQuest
- Generative AI Fundamentals:Â IBM
- Natural Language Processing with Attention Models:Â DeepLearning.AI
- Regression Models:Â Johns Hopkins University