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Total Size:
18.5 MB
Info Hash:
09C2FE204D23D8BECB6CB9179E09DCEA4D04CBC4
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Added:
April 22, 2026, 1:38 a.m.
Stats:
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(Last updated: April 22, 2026, 1:39 a.m.)
| File | Size |
|---|---|
| Natural Language Processing with Python Updated Edition. From Basics...2024.pdf | 18.5 MB |
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21.8 MB
[3
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2023-06-23
| Uploaded by FreeCourseWeb | Size 21.8 MB | Health [ 3 /0 ] | Added 2023-06-23 |
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450.8 MB
[0
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2023-10-25
| Uploaded by freecoursewb | Size 450.8 MB | Health [ 0 /2 ] | Added 2023-10-25 |
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SOURCE: Natural Language Processing with Python Updated Edition. From Basics...2024
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MEDIAINFO
Textbook in PDF format Are you fascinated by the power of language and eager to harness its potential using cutting-edge technology? Do you want to transform raw text data into valuable insights, build intelligent systems, and stay ahead in the rapidly evolving field of Natural Language Processing (NLP)? Look no further! this book is here to equip you with the knowledge and skills you need to excel in NLP. The purpose of this book is to provide a comprehensive, hands-on guide to Natural Language Processing using Python. NLP is a vast and complex field, and our aim is to cover a broad spectrum of topics, from the basics to advanced techniques, in a way that is both accessible and practical. What Awaits Inside Natural Language Processing is revolutionizing the way we interact with data, making it possible to analyze, understand, and generate human language with unprecedented accuracy. From sentiment analysis to machine translation, chatbots to text summarization, the applications of NLP are vast and transformative. Whether you're a data scientist, developer, student, or business professional, this book is your gateway to mastering NLP and unlocking the full potential of text data. In this book, we take you on a journey through the fascinating world of NLP, starting with foundational concepts and progressing to advanced techniques and real-world applications. Each chapter is designed to build your understanding step-by-step, providing you with practical skills that you can apply immediately. This book aims to provide a practical and hands-on approach to starting with Mastering the Creative Power of AI. Whether you are a beginner without programming experience or an experienced programmer looking to expand your skills, this book is designed to help you develop your skills and build a solid foundation in Generative Deep Learning with Python. Transform Your Skills Foundations of NLP: Grasp the core principles of NLP, including text preprocessing, tokenization, stop word removal, and lemmatization. Learn how to prepare raw text data for analysis and build a solid foundation for more advanced techniques. Feature Engineering: Discover how to convert text into numerical representations using techniques like Bag of Words, TF-IDF, and word embeddings (Word2Vec, GloVe). Understand the importance of feature engineering in building effective NLP models. Language Modeling: Dive deep into language modeling with N-grams, Hidden Markov Models, Recurrent Neural Networks (RNNs), and Long Short-Term Memory Networks (LSTMs). Explore how these models predict and generate text, capturing the nuances of human language. Syntax and Parsing: Master Parts of Speech (POS) tagging, Named Entity Recognition (NER), and dependency parsing. Learn how to extract structured information from text and understand its grammatical structure. Advanced Text Processing: Perform sentiment analysis, topic modeling, and text summarization. Gain insights into the emotional tone of text, uncover hidden themes, and condense large volumes of information into concise summaries. Practical Applications: Engage in hands-on projects that demonstrate real-world applications of NLP. Build a machine translation system, develop intelligent chatbots, create a news aggregator, and design a sentiment analysis dashboard. Why Choose This Book? Comprehensive Coverage: From the basics to advanced topics, this book provides a thorough understanding of NLP. Each chapter is crafted to build your knowledge progressively, ensuring you gain both theoretical understanding and practical skills. Hands-On Projects: Learn by doing with step-by-step projects that apply NLP techniques to real-world problems. These projects not only reinforce your learning but also provide you with a portfolio of practical applications. User-Friendly Approach: Designed for learners at all levels, the book includes clear explanations, practical examples, and helpful illustrations. Whether you're a beginner or an experienced professional, you'll find the content accessible and engaging
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