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  • Distributional Semantics

Results for "distributional semantics"


  • Status: Preview
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    U

    Universidade de São Paulo

    Introdução à Ciência da Computação com Python Parte 1

    Skills you'll gain: Debugging, Computational Thinking, Programming Principles, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    SAS: Apply & Evaluate Poisson & Negative Binomial Models

    Skills you'll gain: SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Predictive Modeling, Statistical Methods, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    Deploy and Scale AI Models with Cloud Run

    Skills you'll gain: Google Cloud Platform, Serverless Computing, Generative AI, Application Deployment, Cloud Services, Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    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
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    Duke University

    End to End LLMs with Azure

    Skills you'll gain: Microsoft Azure, Large Language Modeling, OpenAI, Application Deployment, Prompt Engineering, Application Development, Application Programming Interface (API), GitHub, Automation, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · 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: Free Trial
    Free Trial
    R

    Rice University

    An Introduction to Interactive Programming in Python (Part 1)

    Skills you'll gain: Event-Driven Programming, Application Development, Interactive Design, Graphical Tools, User Interface (UI), Animation and Game Design, Programming Principles, Computer Graphics, Python Programming, Game Design, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

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

  • Introdução à Ciência da Computação com Python Parte 1: Universidade de São Paulo
  • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
  • Deploy and Scale AI Models with Cloud Run: Google Cloud
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • What's New in Modern C++: Pearson
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • End to End LLMs with Azure: Duke University
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Deep Learning for Natural Language Processing: University of Colorado Boulder
  • An Introduction to Interactive Programming in Python (Part 1): Rice University

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