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  • Exponential Random Graph Models

Results for "exponential random graph models"


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    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Español

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Data Cleansing, Application Deployment, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Applied Machine Learning, Artificial Neural Networks, Data Pipelines, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Cleansing, Data Pipelines, Data Transformation, MLOps (Machine Learning Operations), Deep Learning, Application Deployment, Scalability, Machine Learning, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

    Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Deep Learning, Application Deployment, Applied Machine Learning, Data Transformation, Artificial Neural Networks, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Artificial Neural Networks, Deep Learning, Application Deployment, Data Processing, Data Pipelines, Scalability, Machine Learning, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Applied Machine Learning, Natural Language Processing, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI Product Strategy, Artificial Intelligence, Business Process Automation, Automation, Cloud Applications

    4.8
    Rating, 4.8 out of 5 stars
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    4.6K reviews

    Beginner · Course · 1 - 4 Weeks

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    National Taiwan University

    服務模式的體驗、設計與創新:從痛點到賣點 (Experience, Design, and Innovation of Service Models: from Pain Points to Selling Points)

    Skills you'll gain: Revenue Management, Service Design, Customer experience improvement, Financial Services, Innovation, Economics, Product Design, Case Studies, Platform As A Service (PaaS), Business Modeling, Business Strategy, Consumer Behaviour

    4.8
    Rating, 4.8 out of 5 stars
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    151 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
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    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C, Go, and C++: A Comprehensive Introduction to Programming

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, C and C++, C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Object Oriented Design, Unit Testing, Integrated Development Environments, Algorithms, Pseudocode, Command-Line Interface, Graph Theory, Computer Science, File Systems, Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    S

    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

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

  • Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
  • IBM AI Engineering: IBM
  • Generative AI for Everyone: DeepLearning.AI
  • 服務模式的體驗、設計與創新:從痛點到賣點 (Experience, Design, and Innovation of Service Models: from Pain Points to Selling Points): National Taiwan University
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Algorithmic Thinking (Part 1): Rice University

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