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  • Distributional Semantics

Results for "distributional semantics"


  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique

    Initiation à la théorie des distributions

    Skills you'll gain: Differential Equations, Advanced Mathematics, Applied Mathematics, Mathematical Theory & Analysis, Calculus, Integral Calculus, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    Universitat Autònoma de Barcelona

    Càlcul en diverses variables

    Skills you'll gain: Calculus, Advanced Mathematics, Mathematical Theory & Analysis, Geometry, Algebra, Derivatives

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    233K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Introduction to Python Programming

    Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Integrated Development Environments, Data Import/Export, Jupyter, File Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Generative AI and Symbolic Reasoning

    Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, ChatGPT, AI Product Strategy, Artificial Intelligence, LLM Application, Data Ethics, Prompt Engineering, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    U

    University of Alberta

    Problem Solving, Python Programming, and Video Games

    Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Problem Solving, Computer Programming, Program Development, Software Engineering, Python Programming, Algorithms, Object Oriented Programming (OOP), Pseudocode, Data Structures, Application Design, Debugging, Computer Science, Test Planning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    233 reviews

    Beginner · Course · 1 - 3 Months

  • A

    Amazon Web Services

    Developing Applications in Python on AWS

    Skills you'll gain: Software Architecture, Amazon DynamoDB, Cloud Applications, Databases, Amazon Web Services, Event-Driven Programming, API Gateway, Relational Databases, Serverless Computing, Python Programming, Cloud API, Service Oriented Architecture, Microservices, NoSQL, Application Development, Web Development, Automation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    103 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Pearson

    What's New in Modern C++

    Skills you'll gain: C and C++, C++ (Programming Language), Object Oriented Programming (OOP), System Programming, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

    Intermediate · Course · 1 - 3 Months

1…456…11

In summary, here are 10 of our most popular distributional semantics courses

  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Initiation à la théorie des distributions: École Polytechnique
  • Càlcul en diverses variables: Universitat Autònoma de Barcelona
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Introduction to Python Programming: University of Pennsylvania
  • Deep Learning for Natural Language Processing: University of Colorado Boulder
  • Generative AI and Symbolic Reasoning: Johns Hopkins University
  • Problem Solving, Python Programming, and Video Games: University of Alberta
  • Developing Applications in Python on AWS: Amazon Web Services
  • What's New in Modern C++: Pearson

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