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  1. Machine Learning and NLP Basics - Coursera

    This course is ideal for students, data scientists, software engineers, and anyone seeking to build or strengthen their skills in machine learning and natural language processing.

  2. Natural Language Processing (NLP) - A Complete Guide

    Jan 11, 2023 · Natural language processing (NLP) is the discipline of building machines that can manipulate human language — or data that resembles human language — in the way that it is …

  3. Machine Learning Advances and Applications on Natural …

    Aug 19, 2025 · This Special Issue explores the most recent machine learning advancements in the research field of NLP. It includes ten original articles that systematically study popular NLP …

  4. NLP with Deep Learning - GeeksforGeeks

    Jul 23, 2025 · Natural Language Processing (NLP) is a subfield of AI focused on making machines to understand, interpret, generate and respond to human language. Deep Learning …

  5. Machine Learning vs. Natural Language Processing Explained

    May 7, 2025 · Explore the relationship between machine learning and natural language processing, their differences, similarities, features, and applications.

  6. What is NLP (natural language processing)? - IBM

    Natural language processing (NLP) is a subfield of computer science and artificial intelligence (AI) that uses machine learning to enable computers to understand and communicate with human …

  7. Machine Learning for Natural Language Processing: A Hands …

    Oct 17, 2023 · In recent years, machine learning, and especially deep learning, has become the driving force behind remarkable breakthroughs in NLP. In this hands-on tutorial, we will …

  8. Machine Learning (ML) for Natural Language Processing (NLP)

    In this article, I’ll start by exploring some machine learning for natural language processing approaches. Then I’ll discuss how to apply machine learning to solve problems in natural …

  9. NLP or Natural Language Processing as a Machine Learning

    Sep 12, 2025 · By combining NLP in machine learning approaches, researchers and developers can build smarter systems that not only recognize words but also grasp the meaning behind …

  10. NLP vs. Machine Learning: What's the Difference? - Coursera

    Sep 22, 2025 · Explore the similarities and differences between NLP vs. machine learning, as well as what the future may look like for these developing fields.

  11. How Does Natural Language Processing Use Machine Learning

    Aug 26, 2022 · Machine learning for NLP encompasses a series of arithmetical systems to identify different sections of speech, sentiment, entities, and other text aspects. These systems can be …

  12. Natural Language Processing (NLP) Tutorial - GeeksforGeeks

    Dec 17, 2025 · Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that helps machines to understand and process human languages either in text or audio form. It is …

  13. NLP Machine Learning: Build an NLP Classifier | Built In

    Jul 19, 2022 · In this article, I’ll show you how to develop your own NLP projects with Natural Language Toolkit (NLTK) but before we dive into the tutorial, let’s look at some every day …

  14. Mastering Natural Language Processing with Machine Learning

    Unlock the power of natural language processing with machine learning! Discover how to train models that can analyze and generate human-like text, revolutionizing industries from …

  15. Deep Learning and Machine Learning - Natural Language Processing

    1.1 Introduction to Natural Language Processing. 1.1.1 What is Natural Language Processing? 1.1.2 The History of NLP. 1.1.3 Applications of NLP in Various Domains. 2 Text …

  16. APPLICATIONS OF ML IN NATURAL LANGUAGE PROCESSING (NLP)

    Nov 1, 2024 · This paper explores the diverse applications of ML within NLP, highlighting advancements in areas such as sentiment analysis, machine translation, text summarization, …

  17. GitHub - huggingface/transformers: Transformers: the model …

    State-of-the-art pretrained models for inference and training Transformers acts as the model-definition framework for state-of-the-art machine learning with text, computer vision, audio, …

  18. Machine learning - Wikipedia

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and …

  19. Special Issue on Recent Applications of Machine Learning in

    May 29, 2025 · In summary, the contributions in this Special Issue collectively illustrate the breadth and depth of current research on machine learning applications in NLP.

  20. Natural Language Processing | Coursera

    Master cutting-edge NLP techniques through four hands-on courses! Updated with TensorFlow labs in December 2023. Use logistic regression, naïve Bayes, and word vectors to implement …

  21. Machine Learning – What Is It and Why Does It Matter? - NVIDIA

    What Is Machine Learning And How Does It Work? In simplest terms, machine learning trains a machine to learn without being explicitly programmed how to do so. As a subset of AI, …

  22. Deep Learning and Machine Learning -- Natural Language Processing

    Oct 30, 2024 · With a focus on natural language processing (NLP) and the role of large language models (LLMs), we explore the intersection of machine learning, deep learning, and artificial …

  23. Demystifying NLP Algorithms: A Comprehensive Guide - Coursera

    Apr 17, 2025 · Natural Language Processing (NLP) algorithms teach computers to understand human language and respond to it in the most human-like way possible. Learn more about this …

  24. What is machine learning? - IBM

    Machine learning is the subset of AI focused on algorithms that analyze and “learn” the patterns of training data in order to make accurate inferences about new data.