Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "exponential random graph models"
Coursera Project Network
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability
- Status: Free
DeepLearning.AI
Skills you'll gain: Large Language Modeling, OpenAI, Performance Tuning, Generative AI, PyTorch (Machine Learning Library)
- Status: Free Trial
Howard University
Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy
- Status: Free
DeepLearning.AI
Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Performance Tuning, Data Processing, Deep Learning
- Status: Free
Coursera Project Network
Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning
- Status: Free Trial
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Network Analysis, Computational Thinking, Theoretical Computer Science, Network Routing
- Status: Free
Coursera Project Network
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, Tidyverse (R Package), R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Docker (Software), Application Programming Interface (API)
- Status: Free
DeepLearning.AI
Skills you'll gain: Generative AI, Jupyter, PyTorch (Machine Learning Library), Image Analysis, Sampling (Statistics), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Algorithms
- Status: Free Trial
Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Network Architecture, Performance Tuning, Medical Imaging
- Status: Free Trial
LearnQuest
Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Regression Analysis, Python Programming
- Status: Free Trial
University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, 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, Machine Learning, Bayesian Statistics, Data Analysis
In summary, here are 10 of our most popular exponential random graph models courses
- Using probability distributions for real world problems in R:Â Coursera Project Network
- Efficiently Serving LLMs:Â DeepLearning.AI
- Building Regression Models with Linear Algebra:Â Howard University
- Finetuning Large Language Models:Â DeepLearning.AI
- Tidymodels in R: Building tidy machine learning models:Â Coursera Project Network
- Graph Search, Shortest Paths, and Data Structures:Â Stanford University
- MLOps in R: Deploying machine learning models using vetiver:Â Coursera Project Network
- How Diffusion Models Work:Â DeepLearning.AI
- Advanced CNNs, Transfer Learning, and Recurrent Networks:Â Packt
- Neural Networks and Random Forests:Â LearnQuest