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Item #:
37686625
Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand (Paperback)
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Item #:
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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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.
Product Details
- 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.
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Features & Benefits
- 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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