товар №:
37686625
Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand (Paperback)
товар №:
37686625
TJS 795
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What Stands Out
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.
Информация о продукте
- 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 |
Who Should Buy?
-
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.
-
Beginners in NLP
May overwhelm beginners who lack foundational knowledge in natural language processing and machine learning concepts.
-
General Managers
Not ideal for general managers without a technical background who require broader, less technical insights into NLP.
ОПИСАНИЕ ТОВАРА
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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Вопросы и ответы клиентов
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вопрос:
Do I need prior knowledge of NLP to use this guide?
отвечать: A basic understanding of machine learning and some Python experience is recommended. -
вопрос:
What NLP tasks will I be able to tackle after this guide?
отвечать: You will be equipped to handle tasks like named entity recognition, text classification, and semantic search. -
вопрос:
What tools will I learn to use?
отвечать: 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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Плюсы
- Comprehensive coverage of NLP
- Practical applications discussed
- Clear and engaging writing style
- Valuable for both beginners and experts
- Real-world case studies included
Минусы
- Some sections could be more in-depth.
Product Price History
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TJS 795
Закажите сейчас и получите товар приблизительно Пятница, Июль 17
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
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Особенности и преимущества
- 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.