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Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write and Understand

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9789391043377
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Minimum quantity for "Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write and Understand" is 1.

All Indian Reprints of O'Reilly are printed in Grayscale

NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP.

With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlightthe best practices in modern NLP.

  • Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension
  • Train NLP models with performance comparable or superior to that of out-of-the-box systems
  • Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm
  • Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai
  • Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch
  • Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production

Books

Author:
Ankur A. Patel
Author 2:
Ajay Uppili Arasanipalai
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
ships in 1-2 days
Leadtime to ship in days(if not in stock):
ships in 12-15 days
Pages:
336
Publication Date:
08/06/2021
Publisher:
Shroff/O'Reilly
Year:
2021

Dimensions

Dimensions (W x H x D):
7 x 9 x 0.7 inch

Table of Contents (9789391043377_toc.pdf, 180 Kb) [Download]