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Natural Language Processing Fundamentals for Developers
Natural Language Processing Fundamentals for Developers

Natural Language Processing Fundamentals for Developers: A Practical Guide to Building NLP Applications

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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$59.99
eBook Aug 2024 382 pages 1st Edition
eBook
$59.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
$59.99
eBook Aug 2024 382 pages 1st Edition
eBook
$59.99
eBook
$59.99

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Key benefits

  • Comprehensive introduction to NLP concepts and techniques
  • Practical examples using popular NLP libraries
  • Detailed coverage of advanced models like BERT and GPT

Description

This book is for developers seeking an overview of basic concepts in Natural Language Processing (NLP). It caters to those with varied technical backgrounds, offering numerous code samples and listings to illustrate the wide range of topics covered. The journey begins with managing data relevant to NLP, followed by two chapters on fundamental NLP concepts. This foundation is reinforced with Python code samples that bring these concepts to life. The book then delves into practical NLP applications, such as sentiment analysis, recommender systems, COVID-19 analysis, spam detection, and chatbots. These examples provide real-world context and demonstrate how NLP techniques can be applied to solve common problems. The final chapter introduces advanced topics, including the Transformer architecture, BERT-based models, and the GPT family, highlighting the latest state-of-the-art developments in the field. Appendices offer additional resources, including Python code samples on regular expressions and probability/statistical concepts, ensuring a well-rounded understanding. Companion files with source code and figures enhance the learning experience, making this book a comprehensive guide for mastering NLP techniques and applications.

Who is this book for?

This book is ideal for developers with a basic understanding of Python and machine learning. This book is designed for those looking to enhance their skills in NLP, providing a comprehensive introduction to fundamental concepts, tools, and applications. Prior experience with Python and basic ML concepts is recommended.

What you will learn

  • Understand datasets and data preparation
  • Implement text normalization and tokenization
  • Apply word embeddings and vectorization techniques
  • Utilize popular NLP libraries like NLTK and SpaCy
  • Develop recommender systems and chatbots
  • Explore transformer models including BERT and GPT

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 07, 2024
Length: 382 pages
Edition : 1st
Language : English
ISBN-13 : 9781836644200
Category :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Aug 07, 2024
Length: 382 pages
Edition : 1st
Language : English
ISBN-13 : 9781836644200
Category :

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Table of Contents

8 Chapters
Chapter 1: Working with Data Chevron down icon Chevron up icon
Chapter 2: NLP Concepts (I) Chevron down icon Chevron up icon
Chapter 3: NLP Concepts (II) Chevron down icon Chevron up icon
Chapter 4: Algorithms and Toolkits (I) Chevron down icon Chevron up icon
Chapter 5: Algorithms and Toolkits (II) Chevron down icon Chevron up icon
Chapter 6: NLP Applications Chevron down icon Chevron up icon
Chapter 7: Transformer, BERT, and GPT Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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