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    • Computational Linguistics

    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
      U

      University of Colorado System

      Clinical Natural Language Processing

      Skills you'll gain: Natural Language Processing, Text Mining, Clinical Data Management, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data

      3.7
      Rating, 3.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rice University

      Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications

      Skills you'll gain: Environmental Monitoring, Environmental Engineering, Water Resources, Geostatistics, Environmental Science, Mathematical Modeling, Laboratory Research, Microbiology, Biology, Chemical Engineering, Chemistry, Hydraulics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      506 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Getting Started with Generative AI APIs

      Skills you'll gain: OpenAI, Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, Applied Machine Learning, Application Programming Interface (API), Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Programming in Java: A Hands-on Introduction

      Skills you'll gain: Apache Maven, Data Import/Export, Object Oriented Programming (OOP), JSON, Java Programming, Debugging, JUnit, Java, Software Documentation, Programming Principles, Data Structures, Computer Programming, Restful API, Integrated Development Environments, File Management, Data Validation, Package and Software Management, Network Protocols, Unit Testing, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      183 reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Quantum Information

      Skills you'll gain: Emerging Technologies, Digital Communications, Encryption, Theoretical Computer Science, Cryptography, Linear Algebra, Algorithms, Computational Thinking, Information Technology, Physics, Simulations, Mathematical Modeling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      121 reviews

      Advanced · Course · 1 - 3 Months

    • N

      National Taiwan University

      人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

      Skills you'll gain: Computational Logic, Artificial Intelligence, Simulations, Computational Thinking, Programming Principles, Theoretical Computer Science, Algorithms, Machine Learning, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      316 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, File Systems, Linux, Job Control Language (JCL), Command-Line Interface, Performance Tuning, Computer Architecture

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      139 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Advanced Portfolio Construction and Analysis with Python

      Skills you'll gain: Portfolio Management, Investment Management, Financial Modeling, Return On Investment, Asset Management, Financial Market, Estimation, Statistical Methods, Python Programming, Regression Analysis, Risk Analysis, Risk Management, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      507 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics, Course 2: Robot Kinematics

      Skills you'll gain: Mathematical Modeling, Machine Controls, Automation Engineering, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Computational Logic, Simulation and Simulation Software, Virtual Environment, Torque (Physics), Numerical Analysis, Linear Algebra, Trigonometry, Control Systems

      4.9
      Rating, 4.9 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Numerical Methods for Engineers

      Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      381 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      National Taiwan University

      Operations Research (2): Optimization Algorithms

      Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Algorithms, Process Optimization, Engineering Calculations, Program Implementation, Mathematical Software, Computational Thinking, Operational Analysis, Mathematical Modeling, Decision Making, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Toronto

      Learn to Program: Crafting Quality Code

      Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Unit Testing, Python Programming, Algorithms, Test Case, Software Testing, Debugging, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      728 reviews

      Mixed · Course · 1 - 3 Months

    Computational Linguistics learners also search

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    1…141516…42

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

    • Clinical Natural Language Processing: University of Colorado System
    • Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications: Rice University
    • Getting Started with Generative AI APIs: Codio
    • Programming in Java: A Hands-on Introduction: Codio
    • Introduction to Quantum Information: Korea Advanced Institute of Science and Technology(KAIST)
    • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Advanced Portfolio Construction and Analysis with Python: EDHEC Business School
    • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
    • Numerical Methods for Engineers: The Hong Kong University of Science and Technology

    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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