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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
      D

      Duke University

      Open Source LLMOps Solutions

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Open Source Technology, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Application Deployment, Application Programming Interface (API), Command-Line Interface, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
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      D

      Duke University

      Foundations of Local Large Language models

      Skills you'll gain: Generative AI, Cloud Applications, Application Deployment, Large Language Modeling, Other Programming Languages, Data Ethics, MLOps (Machine Learning Operations), Prompt Engineering, Statistical Programming, Risk Management Framework, Natural Language Processing, Performance Testing, Command-Line Interface, Rust (Programming Language)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      P

      Peking University

      Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Molecular Biology, Machine Learning Methods, Data Mining, Biology, Statistical Methods, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      282 reviews

      Mixed · Course · 3 - 6 Months

    • 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, Trigonometry, Control Systems

      4.9
      Rating, 4.9 out of 5 stars
      ·
      296 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Computational Logic, Theoretical Computer Science, Graph Theory, Network Analysis, Logical Reasoning, Geospatial Information and Technology, Network Model, Computational Thinking, Deductive Reasoning, Mathematics and Mathematical Modeling, Algebra, Spatial Analysis, Data Structures, Mathematical Modeling, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Beginner · Course · 3 - 6 Months

    • Status: Preview
      Preview
      S

      Shanghai Jiao Tong University

      Discrete Mathematics

      Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science

      3.3
      Rating, 3.3 out of 5 stars
      ·
      199 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Mind and Machine

      Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Artificial Neural Networks, Statistical Modeling, Probability Distribution, Behavioral Economics, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Human Learning, Human Factors, Theoretical Computer Science, Human Machine Interfaces

      4.4
      Rating, 4.4 out of 5 stars
      ·
      362 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Assembly Programming Challenge

      Skills you'll gain: Bioinformatics, Epidemiology, Graph Theory, Infectious Diseases, Network Analysis, Program Development, Molecular Biology, Computational Thinking, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      346 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Pharmacology, Infectious Diseases, Computational Thinking, Applied Mathematics, Algorithms, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Programming in Python: A Hands-on Introduction

      Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Data Import/Export, Data Structures, Python Programming, Scripting, Computational Logic, Computer Science, File Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      471 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Pointers, Arrays, and Recursion

      Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      346 reviews

      Beginner · Course · 1 - 3 Months

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    1…161718…44

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

    • Open Source LLMOps Solutions: Duke University
    • Foundations of Local Large Language models: Duke University
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
    • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • Discrete Mathematics: Shanghai Jiao Tong University
    • Mind and Machine: University of Colorado Boulder
    • Genome Assembly Programming Challenge: University of California San Diego
    • Genome Sequencing (Bioinformatics II): University of California San Diego

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