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Results for "exponential random graph models"
- Status: Free
Duke University
Skills you'll gain: Generative AI, Cloud Applications, Application Deployment, Cloud Computing, Other Programming Languages, Data Ethics, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Natural Language Processing, Open Source Technology, Python Programming, Rust (Programming Language)
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Predictive Modeling, Network Model, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference
- Status: Free
Johns Hopkins University
Skills you'll gain: Epidemiology, Infectious Diseases, Policy Analysis, Mathematical Modeling, Statistical Modeling, Public Policies, Data Modeling, Predictive Modeling, Risk Analysis, Statistical Analysis, Decision Support Systems, Vulnerability
- Status: Free
Coursera Instructor Network
Skills you'll gain: Trend Analysis, Real Time Data, Analytics, Business Strategy, Application Programming Interface (API), Generative AI, Technology Roadmaps, Business, Software Development, Business Technologies, Natural Language Processing, MarTech, Artificial Neural Networks, Content Marketing, Artificial Intelligence, Customer Service
- Status: Free
Johns Hopkins University
Skills you'll gain: Risk Modeling, Regression Analysis, Microsoft Excel, Business Analytics, Risk Analysis, Business Process, Business Modeling, Data Modeling, Resource Allocation, Statistical Analysis, Mathematical Modeling, Process Optimization, Financial Analysis, Statistical Methods, Spreadsheet Software, Predictive Analytics, Transportation Operations
University of California San Diego
Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Network Routing, Algorithms, Theoretical Computer Science, Operations Research
- Status: Free
DeepLearning.AI
Skills you'll gain: Query Languages, Data Storage, Semantic Web, Unstructured Data, Generative AI, Graph Theory, Text Mining, Information Architecture
- Status: Free
Stanford University
Skills you'll gain: Game Theory, Business Strategy, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Decision Making, Behavioral Economics, Probability, Economics, Competitive Analysis, Algorithms, Theoretical Computer Science, Human Learning, Probability Distribution
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
- Status: Free
DeepLearning.AI
Skills you'll gain: Generative AI, Performance Tuning, Data Processing, Applied Machine Learning, Deep Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)
DeepLearning.AI
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Algorithms, Regression Analysis, Performance Tuning
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Probability, Probability Distribution
In summary, here are 10 of our most popular exponential random graph models courses
- Foundations of Local Large Language models:Â Duke University
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Infectious Disease Transmission Models for Decision-Makers:Â Johns Hopkins University
- Understanding Large Language Models in Business:Â Coursera Instructor Network
- Business Analytics with Excel: Elementary to Advanced:Â Johns Hopkins University
- Introduction to Graph Theory:Â University of California San Diego
- Knowledge Graphs for RAG:Â DeepLearning.AI
- Game Theory:Â Stanford University
- Sample-based Learning Methods:Â University of Alberta
- Finetuning Large Language Models:Â DeepLearning.AI