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    • Nlp

    NLP Courses Online

    Master natural language processing (NLP) for analyzing text data. Learn about text classification, sentiment analysis, and language models.

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    Explore the NLP Course Catalog

    • C

      Coursera Project Network

      Classify Radio Signals with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Image Analysis, Feature Engineering, Digital Communications, Deep Learning, Artificial Neural Networks, Telecommunications

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Generative AI: Forecasting Disruption

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, Artificial Intelligence, Visualization (Computer Graphics), Natural Language Processing, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      Industrial Applications of AI

      Skills you'll gain: Machine Learning Algorithms, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Artificial Intelligence, Civil Engineering, Tensorflow, Automation, Computer Engineering, Engineering Software, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electrical Engineering, Mechanical Engineering, Predictive Modeling, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Machine Learning e Data Mining in R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Data Mining, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Statistical Analysis, Data Visualization Software, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Statistical Learning

      Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Methods, Statistical Machine Learning, Statistical Modeling, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering, Artificial Neural Networks

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Trees, SVM and Unsupervised Learning

      Skills you'll gain: Applied Machine Learning, Supervised Learning, Statistical Machine Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Feature Engineering, Random Forest Algorithm

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      W

      Whizlabs

      NVIDIA: Fundamentals of Deep Learning

      Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Machine Learning Methods, Supervised Learning, Data Processing, Network Model, Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Diabetes Disease Detection with XG-Boost and Neural Networks

      Skills you'll gain: Artificial Neural Networks, Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Curso Completo de Deep Learning

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Machine Learning, Machine Learning Algorithms, Data Processing

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      Universidad Austral

      Optimización de Redes Neuronales Profundas

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Statistical Analysis, Machine Learning Algorithms, Analysis, Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      L

      LearnKartS

      Introduction to AI and Machine Learning

      Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Natural Language Processing, Amazon Web Services, Supervised Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Artificial Neural Networks, Deep Learning, Data Processing, Data Wrangling

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Building Applications with Vector Databases

      Skills you'll gain: Anomaly Detection, Database Application, Large Language Modeling, Semantic Web, Application Development, Natural Language Processing, Image Analysis, AI Personalization, Information Architecture

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    NLP learners also search

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    In summary, here are 10 of our most popular nlp courses

    • Classify Radio Signals with PyTorch: Coursera Project Network
    • Generative AI: Forecasting Disruption: University of Michigan
    • Industrial Applications of AI: L&T EduTech
    • Machine Learning e Data Mining in R: Università di Napoli Federico II
    • Statistical Learning: Illinois Tech
    • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
    • NVIDIA: Fundamentals of Deep Learning: Whizlabs
    • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera Project Network
    • Curso Completo de Deep Learning: Coursera Project Network
    • Optimización de Redes Neuronales Profundas: Universidad Austral

    Skills you can learn in Software Development

    Programming Language (34)
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    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Nlp

    Natural Language Processing (NLP) courses on Coursera equip learners with a variety of skills crucial for understanding and manipulating human language data, including:

    • Fundamentals of linguistics and how computers interpret human language
    • Techniques for text processing, sentiment analysis, and language modeling
    • Application of machine learning models to NLP tasks such as translation and speech recognition
    • Implementation of NLP solutions using popular programming libraries like NLTK and SpaCy
    • Understanding of advanced concepts in deep learning for NLP, such as transformers and BERT models
    • Ethical considerations in NLP, focusing on bias mitigation and data privacy‎

    NLP courses on Coursera cater to learners with various levels of experience:

    • No prior programming or linguistic experience is required for introductory courses, which cover the basics of NLP and its applications.
    • Intermediate courses expect some familiarity with programming, ideally in Python, and cover more sophisticated techniques in NLP.
    • Advanced courses are suitable for those with a solid background in both programming and machine learning, focusing on cutting-edge NLP technologies and their implications.‎

    Participating in NLP courses on Coursera can lead to a variety of credentials that demonstrate your capabilities:

    • Course certificates for each NLP course you complete, which can highlight your specific skills in language processing.
    • Professional certificates that consolidate your expertise across multiple NLP applications, proving your comprehensive knowledge.
    • Specializations or Mastertrack certificates that explore more complex NLP topics, suitable for advancing your career in data science and AI fields.‎

    Proficiency in NLP can enhance your qualifications for a range of careers in technology and data analysis, including:

    • Data Scientist specializing in text and language data analysis
    • AI Engineer developing systems that understand and generate human language
    • Research Scientist in academia or industry focusing on advancing NLP technologies
    • NLP Specialist in technology firms creating more intuitive user interactions
    • Content Strategist using NLP tools to analyze and optimize digital content

    These roles leverage NLP skills to develop innovative solutions that improve how we interact with technology and each other through language. ‎

    Yes, Coursera offers a variety of free courses across many topics, including NLP. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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