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  • Exponential Random Graph Models

Results for "exponential random graph models"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Validate LLM Embeddings for Production Use

    Skills you'll gain: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, Large Language Modeling, Data Validation, Continuous Monitoring, Performance Testing, Data Manipulation, Dimensionality Reduction, Cost Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Statistical Analysis, Statistical Programming, Data Analysis, R (Software), Data Science, Data Ethics, Statistical Software, Statistical Methods, Regression Analysis, Predictive Modeling, Machine Learning, Logistic Regression, Probability & Statistics, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Engineering Genetic Circuits: Modeling and Analysis

    Skills you'll gain: Biological Engineering, Bioinformatics, Simulation and Simulation Software, Mathematical Modeling, Mathematical Software, Biotechnology, Simulations, Process Modeling, Differential Equations, Biochemistry, Numerical Analysis, Molecular, Cellular, and Microbiology, Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Accelerate Model Training with PyTorch 2.X

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Training, Distributed Computing, Data Pipelines, Performance Tuning, Deep Learning, AI Workflows, Scalability, LLM Application, Memory Management, Hardware Architecture, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Efficiently Serving LLMs

    Skills you'll gain: LLM Application, Token Optimization, Large Language Modeling, Model Optimization, Fine-tuning, Performance Tuning, Generative AI

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Embeddings, Prompt Engineering, Query Languages, Vector Databases, Data Storage, Unstructured Data, Graph Theory

    4.8
    Rating, 4.8 out of 5 stars
    ·
    98 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Deployment, Version Control, Large Language Modeling, Predictive Modeling, Data Management, Dashboard, Interactive Data Visualization, Machine Learning, Record Keeping, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Numerical Analysis, Process Optimization, Cloud Deployment, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Data Presentation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Validate LLM Embeddings for Production Use: Coursera
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Engineering Genetic Circuits: Modeling and Analysis: University of Colorado Boulder
  • Accelerate Model Training with PyTorch 2.X: Packt
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Efficiently Serving LLMs: DeepLearning.AI
  • Using probability distributions for real world problems in R: Coursera
  • Knowledge Graphs for RAG: DeepLearning.AI
  • Track and Evaluate ML Model Experiments: Coursera
  • Advanced PyTorch Techniques and Applications: Packt

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