Natural Language Processing in Action
MVR 1760
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Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language.
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- Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks. In Natural Language Processing in Action, Second Edition you will learn how to: Process, analyze, understand, and generate natural language textBuild production-quality NLP pipelines with spaCyBuild neural networks for NLP using PytorchBERT and GPT transformers for English composition, writing code, and even organizing your thoughtsCreate chatbots and other conversational AI agents Natural Language Processing in Action has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you'll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you'll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools. about the technologyDeep learning has been a giant leap forward for NLP applications. Developers can now build chatbots and other natural language tools that can imitate real people, diagnose illness, automatically summarize documents, and more. Accessible open source tools such as spaCy and PyTorch make production-level NLP easier and more impactful than ever before. about the book Natural Language Processing in Action, Second Edition is your guide to building software that can read and interpret human language. This new edition is updated to include the latest Python packages and comes with full coverage of cutting-edge models like BERT, GPT-J and HuggingFace transformers. In it, you'll learn to create fun and useful NLP applications such as semantic search engines that are even better than Google, chatbots that can help you write a book, and a multilingual translation program. Soon, you'll be ready to start tackling real-world problems with NLP. AUTHOR BIO Hobson Lane is a data scientist and machine learning engineer. He has over twenty years experience building autonomous systems and NLP pipelines for both large corporations and start-ups. Currently, Hobson is an instructor at UCSD Extension and Springboard, and the CTO and cofounder of Tangible AI and ProAI.org. Maria Dyshel is a social entrepreneur and artificial intelligence expert. She held a variety of AI research, engineering, and management roles in diverse industries, from designing and improving algorithms for autonomous vehicles, to implementing company-wide Conversational AI program in one of the world's largest pharma companies. Maria is currently the CEO and cofounder of Tangible AI. Cole Howard and Hannes Max Hapke were authors of the first edition of Natural Language Processing in Action and their legacy lives on in the collective intelligence of the community around the book.
| Publisher | Manning Publications |
| Publication date | 26 Nov. 2024 |
| Edition | 2nd |
| Language | English |
| Print length | 550 pages |
| ISBN-10 | 1617299448 |
| ISBN-13 | 978-1617299445 |
| Dimensions | 18.75 x 4.37 x 23.5 cm |
| Part of series | In Action |
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English edition Hobson Lane Editorial Review
Natural Language Processing In Action is an insightful resource published by Manning Publications that delves deep into the intricacies of NLP. The second edition, published on November 26, 2024, spans 550 pages offering comprehensive coverage of essential concepts and hands-on applications. Readers have highlighted the clarity of explanations and the practical approach of the text, making complex topics accessible. This book aims to equip both newcomers and seasoned practitioners in artificial intelligence with the knowledge needed to implement NLP solutions effectively.
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Pros
- Clear explanations of complex NLP concepts
- Hands-on approach for practical learning
- Comprehensive coverage across 550 pages
- Suitable for both beginners and experts
- Well-structured for easy understanding
Cons
- Some may find the print length a bit lengthy
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Features & Benefits
- Develop NLP skills with an open-source toolbox of Python packages.
- Build production-quality NLP pipelines and neural networks using spaCy and PyTorch.
- Learn to create chatbots and conversational AI agents.
- Hands-on approach with updated content on BERT and Hugging Face transformers.
- Includes eBook formats with purchase for added convenience.
- Unlock the next generation of NLP technology and applications.
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