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    Computational Linguistics Courses Online

    Explore computational linguistics for natural language processing. Learn to develop algorithms for language analysis and machine translation.

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    Explore the Computational Linguistics Course Catalog

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      The Binary Search Algorithm

      Skills you'll gain: Computational Thinking, Algorithms, Program Development, Theoretical Computer Science, Software Development, Programming Principles, Computer Programming, Data Structures, Javascript, Computer Science

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI and Model Selection

      Skills you'll gain: Generative AI, Applied Machine Learning, Statistical Modeling, Large Language Modeling, AI Personalization, Machine Learning, Systems Integration, Computational Thinking, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Interview Questions and Real-World Applications

      Skills you'll gain: Data Structures, Algorithms, Performance Tuning, Computational Thinking, Computer Programming, C++ (Programming Language), Python Programming, Debugging

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • S

      Siemens

      Dynamique des fluides numérique appliquée

      Skills you'll gain: Thermal Management, Engineering Analysis, Engineering, Scientific Visualization, Simulations, Numerical Analysis, Hydraulics, Mathematical Modeling, Verification And Validation, Physics

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Mastering Image Segmentation with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Processing, Performance Tuning, Supervised Learning, Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mastering Neural Networks and Model Regularization

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Image Analysis, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision

      Intermediate · Course · 1 - 3 Months

    • S

      Siemens

      Angewandte numerische Fluiddynamik

      Skills you'll gain: Thermal Management, Hydraulics, Engineering Analysis, Simulations, Numerical Analysis, Engineering, Mathematical Modeling, Physics

      Intermediate · Course · 1 - 3 Months

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

      University of Colorado Boulder

      BiteSize Python for Absolute Beginners: Flow Controls

      Skills you'll gain: Python Programming, Programming Principles, Data Structures, Computational Logic, Debugging, Computational Thinking, Maintainability

      Beginner · Course · 1 - 4 Weeks

    • B

      Ball State University

      Statistical Methods for Data Science

      Skills you'll gain: Statistical Inference, Probability, Statistics, Statistical Methods, Statistical Modeling, Probability Distribution, Statistical Hypothesis Testing, Bayesian Statistics, Statistical Analysis, Data Science, R Programming, Sampling (Statistics), Simulations, Descriptive Statistics

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Fundamentals of Programming Using Flowchart and Pseudocode

      Skills you'll gain: Pseudocode, Programming Principles, Software Visualization, Computational Logic, Debugging, Computer Programming, Graphical Tools

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      التحضير لمقابلة عمل الترميز

      Skills you'll gain: Pseudocode, Data Structures, Algorithms, Programming Principles, Theoretical Computer Science, Software Visualization, Computer Science, Computational Thinking, Technical Communication, Program Development, Computational Logic

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular computational linguistics courses

    • The Binary Search Algorithm: Scrimba
    • GenAI and Model Selection: Coursera Instructor Network
    • Interview Questions and Real-World Applications: Packt
    • Computational and Graphical Models in Probability: Johns Hopkins University
    • Dynamique des fluides numérique appliquée: Siemens
    • Mastering Image Segmentation with PyTorch: Packt
    • Mastering Neural Networks and Model Regularization: Johns Hopkins University
    • Angewandte numerische Fluiddynamik: Siemens
    • BiteSize Python for Absolute Beginners: Flow Controls: University of Colorado Boulder
    • Statistical Methods for Data Science: Ball State University

    Skills you can learn in Mobile And Web Development

    Web (13)
    Mobile App (9)
    Javascript (8)
    Mobile Application Development (8)
    Web Development (8)
    Android Software Development (7)
    CSS (6)
    Programming Language (6)
    Web Application (6)
    Android Studio (5)
    Angularjs (5)
    Computer Program (5)

    Frequently Asked Questions about Computational Linguistics

    Computational linguistics is the study of computer modeling of human language. This scientific field develops computational models for linguistic patterns and structures. In today's world, applications of computational linguistics fall into two categories: using computers to explain linguistic phenomena and developing systems for computers to process language. Computational linguists work to make computers understand both written and spoken language, and they produce technologies that allow humans and computers to communicate with each other linguistically using speech or language systems like artificial intelligence, text-to-speech translators, and automated voice responses.‎

    Computational linguistics is a worthwhile field of study because we use computers increasingly in our modern world, and computers that understand and use human language can help us make the best use of technology. Because language is such a versatile means of communication, computers that can communicate using written or spoken language can become more effective. If you're interested in helping make interactions with machines easier, you'll enjoy the challenges of computational linguistics, and as technology continues to advance, you can develop newer and more sophisticated ways for computers to communicate.‎

    When you're interested in a career in computational linguistics, you'll find plenty of opportunities for work as a computational linguist or engineer. You can find jobs helping program the next generation of artificial intelligence, or you can work as a language engineer or machine learning engineer. Your computational linguistics skills can come in handy developing apps that aid in research, web searches, or translation. You might even be able to program video games that make better use of human speech or help someone who can't speak learn to communicate.‎

    Online courses on Coursera offer you opportunities to learn computational linguistics concepts and skills that are relevant to the real world, such as the philosophies behind language learning and how to program a computer to understand more than one human language or dialect. You might also learn about TensorFlow for NLP to discover the semantic similarities in texts, natural language processing with vector spaces, and sequence models in AI.‎

    Online Computational Linguistics courses offer a convenient and flexible way to enhance your knowledge or learn new Computational Linguistics skills. Choose from a wide range of Computational Linguistics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computational Linguistics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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