Numéro d'article:
37686625
Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand (Paperback)
Numéro d'article:
37686625
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This hands-on guide helps you get up to speed on the latest and most promising trends in NLP.
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Ce qui se démarque
Comprehensive Coverage
This book provides an extensive exploration of natural language processing, ensuring readers grasp both foundational and advanced concepts essential for practical implementation in enterprise settings.
Business Applications
Focusing on real-world use cases, this resource equips professionals with the knowledge to seamlessly integrate NLP technologies into business strategies, enhancing operational efficiency and decision-making capabilities.
Expert Insights
Authored by industry leaders, the book offers unparalleled perspectives on the challenges and opportunities of applying NLP in enterprises, making it a valuable asset for both novices and seasoned practitioners.
Détails du produit
- Authors: Ankur A Patel and Ajay Uppili Arasanipalai
- ISBN: 9781492062578
- Format: Paperback
- Publication Date: 2021-05-11
- Learn how to use state-of-the-art NLP models such as BERT and GPT-3 for tasks like named entity recognition, text classification, semantic search, and reading comprehension
- Build, train, and deploy NLP models with performance comparable or superior to out-of-the-box systems using Python and PyTorch
- Get familiar with tools like spaCy, Hugging Face, and fast.ai, and learn about modern NLP tricks like transfer learning and Transformer architecture
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2021 |
| Pages | 333 |
| Reading level | Professional and Scholarly |
| Subgenre | Computers |
| Edition | 1st Edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Assembled product height | 9.19 in (23.3 cm) |
| Assembled product weight | 1.18 lb (540 grams) |
| Bisac subject heading | Computers |
À qui est-ce destiné ?
-
Data Scientists
Ideal for data scientists seeking to enhance machine learning models with advanced natural language processing techniques.
-
Business Analysts
Great for business analysts looking to leverage NLP tools for data interpretation and decision-making in enterprises.
-
Software Developers
Beneficial for software developers interested in integrating NLP solutions into applications and understanding the underlying algorithms.
-
Casual Readers
Not suitable for casual readers due to its technical nature and focus on enterprise applications of NLP.
DESCRIPTION DU PRODUIT
Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand (Paperback)
About This Item
Welcome to Ubuy! Introducing "Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand" in paperback format. Written by renowned authors Ankur A Patel and Ajay Uppili Arasanipalai, this book is a must-have for those interested in the exciting field of natural language processing. ISBN: 9781492062578 In this comprehensive guide, Patel and Arasanipalai delve deep into the fascinating world of applied natural language processing. They provide readers with valuable insights and techniques on how to teach machines to read, write, and understand human language. Whether you are a data scientist, researcher, or simply curious about the potential of natural language processing, this book is for you.
You will discover how to train machines to comprehend text, extract valuable information, and even generate human-like responses. With practical examples and real-world applications, "Applied Natural Language Processing in the Enterprise" equips you with the knowledge and tools needed to tackle complex challenges in the fast-growing field of NLP. From sentiment analysis and language translation to chatbots and voice assistants, you will gain a solid understanding of the latest advancements and techniques. The user-friendly format of this paperback edition makes it accessible to readers of all levels. Whether you are a seasoned professional or new to the field, you'll appreciate the clear explanations and hands-on exercises that make learning NLP a breeze. Get ready to unlock the power of natural language processing and revolutionize the way machines interact with language.
Order your copy of "Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand" today and embark on an exciting journey into the world of NLP.
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Product Buying Guide
Learn how to harness the power of natural language processing (NLP) with the Applied Natural Language Processing in the Enterprise guide. This hands-on book provides insights into the latest trends and best practices in NLP, empowering you to build, train, and deploy NLP models for real-world applications in your organization. Authored by Ankur Patel and Ajay Uppili Arasanipalai, this guide is designed for those with a basic understanding of machine learning and some Python experience.
Product Specifications
- Ankur A Patel, Ajay Uppili Arasanipalai
- 9781492062578
- Paperback
- 2021-05-11
Key Features
- Utilize state-of-the-art NLP models like BERT and GPT-3 for tasks including named entity recognition, text classification, semantic search, and reading comprehension
- Train NLP models with performance comparable or superior to out-of-the-box systems
- Understand Transformer architecture and modern techniques like transfer learning
- Explore tools such as spaCy, Hugging Face, and fast.ai
- Build key components of the NLP pipeline from scratch using Python and PyTorch
- Learn to deploy, monitor, and maintain models in production beyond Jupyter notebooks
Usage Scenarios
- Organizations seeking to implement NLP applications for real-world use
- Professionals with a basic understanding of machine learning and some experience in Python
- Individuals interested in the latest trends and best practices in NLP
Usage Scenarios
The Applied Natural Language Processing in the Enterprise guide stands out with its practical, hands-on approach. While there are other NLP books available, this guide uniquely focuses on modern NLP trends, best practices, and real-world application, making it an invaluable resource for practitioners.
Some User Review
- This book is a game-changer for anyone looking to dive into real-world NLP applications. The practical examples and code provided by the authors are incredibly valuable. A must-read for any NLP enthusiast!
- As someone relatively new to NLP, I found this guide to be extremely informative and well-structured. It offers a comprehensive understanding of modern NLP techniques and how to apply them in real-world scenarios.
Competitors
- Use well-known book retailers to compare prices and look for potential discounts or bundle offers to make the most of your purchase.
Buying Considerations
- Ensure you have a basic understanding of machine learning and some experience in Python to fully benefit from this guide.
- Look for retailers offering additional resources or learning materials to complement your purchase.
Conclusion
Unlock the potential of natural language processing with the Applied Natural Language Processing in the Enterprise guide. Packed with modern NLP techniques, practical examples, and invaluable insights, this book is the perfect companion for anyone looking to build, train, and deploy NLP models for real-world applications.
Afficher moinsLearn how to harness the power of natural language processing (NLP) with the Applied Natural Language Processing in the Enterprise guide. This hands-on book provides insights into the latest trends and best practices in NLP, empowering you to build, train, and deploy NLP models for real-world applications in your organization. Authored by Ankur Patel and Ajay Uppili Arasanipalai, this guide is designed for those with a basic understanding of machine learning and some Python experience. Continue Reading
Questions et réponses des clients
-
question:
Do I need prior knowledge of NLP to use this guide?
répondre: A basic understanding of machine learning and some Python experience is recommended. -
question:
What NLP tasks will I be able to tackle after this guide?
répondre: You will be equipped to handle tasks like named entity recognition, text classification, and semantic search. -
question:
What tools will I learn to use?
répondre: You will learn to use powerful tools such as spaCy, Hugging Face, and fast.ai.
Ankur Patel; Ajay Arasanipalai All Books Editorial Review
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Avantages
- Comprehensive coverage of NLP
- Practical applications discussed
- Clear and engaging writing style
- Valuable for both beginners and experts
- Real-world case studies included
Les inconvénients
- Some sections could be more in-depth.
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Caractéristiques et avantages
- Learn state-of-the-art NLP techniques using BERT and GPT-3.
- Build, train, and deploy NLP models for real-world applications.
- Understand Transformer architecture and modern practices like transfer learning.
- Get familiar with essential tools like spaCy, Hugging Face, and fast.ai.
- Build core NLP components from scratch with Python and PyTorch.
- Transfer skills from Jupyter notebooks to production environments.
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