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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

    • Status: New
      New
      U

      University of Michigan

      AI for Autonomous Vehicles and Robotics

      Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Deep Learning, Artificial Intelligence, Statistical Machine Learning, Reinforcement Learning, Artificial Neural Networks, Automation, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Intro to Natural Language Processing in Microsoft Azure

      Skills you'll gain: Text Mining, Natural Language Processing, Microsoft Azure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Analytics, Application Development, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • H

      H2O.ai

      Practical Machine Learning on H2O

      Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Data Import/Export, Artificial Neural Networks, Data Modeling, Data Manipulation, Feature Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Deep Learning for Natural Language Processing

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Deep Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Network Model, Tensorflow, OpenAI, Network Architecture, Machine Learning Algorithms, Python Programming

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Development Environment

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Beginner · Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Applying Data Analytics in Accounting

      Skills you'll gain: Internal Controls, Data Visualization, Robotic Process Automation, Accounting and Finance Software, Auditing, Internal Auditing, Alteryx, Financial Auditing, Accounting, Business Process Automation, Analytics, Automation, Text Mining, R Programming, Blockchain, Natural Language Processing, Process Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Comportamiento adaptativo

      Skills you'll gain: Artificial Intelligence, Algorithms, Systems Thinking, Artificial Neural Networks, Simulations, Computational Thinking, Network Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      CUDA Advanced Libraries

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Numerical Analysis, Data Processing, Data Structures, Performance Tuning, Data Transformation, Algorithms

      3
      Rating, 3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Arm

      Getting Started with Machine Learning at the Edge on Arm

      Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      Y

      Yonsei University

      Hands-on Text Mining and Analytics

      Skills you'll gain: Text Mining, Natural Language Processing, Big Data, Data Cleansing, Data Analysis, Java, Unsupervised Learning, Machine Learning Methods, Supervised Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Español

      Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Cloud Infrastructure, Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Automation, Supervised Learning

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning with TensorFlow Google Cloud 日本語版

      Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, PyTorch (Machine Learning Library), Data Validation, Jupyter, Dataflow, Artificial Neural Networks, Performance Tuning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      152 reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • AI for Autonomous Vehicles and Robotics: University of Michigan
    • Intro to Natural Language Processing in Microsoft Azure: Microsoft
    • Practical Machine Learning on H2O: H2O.ai
    • Deep Learning for Natural Language Processing: University of Colorado Boulder
    • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
    • Applying Data Analytics in Accounting: University of Illinois Urbana-Champaign
    • Comportamiento adaptativo: Universidad Nacional Autónoma de México
    • CUDA Advanced Libraries: Johns Hopkins University
    • Getting Started with Machine Learning at the Edge on Arm: Arm
    • Hands-on Text Mining and Analytics: Yonsei University

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    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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