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Applied Natural Language Processing in the Enterprise - Teaching Machines to Read, Write, and Understand (Paperback)
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Applied Natural Language Processing in the Enterprise - Teaching Machines to Read, Write, and Understand (Paperback)
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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, youâll learn how to train and deploy real-world NLP
applications in your organization. Authors Ankur Patel and Ajay
Uppili Arasanipalai guide you through the process using code and
examples that highlight the 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 Use Python and PyTorch to build core parts of the
NLP pipeline from scratch, including tokenizers, embeddings, and
language models Take your models out of Jupyter notebooks and learn
how to deploy, monitor, and maintain them in production
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
May 2021 |
Authors: |
Ankur Patel
• Ajay Arasanipalai
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Dimensions: |
233 x 178 x 21mm (L x W x T) |
Format: |
Paperback
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Pages: |
350 |
ISBN-13: |
978-1-4920-6257-8 |
Categories: |
Books
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LSN: |
1-4920-6257-X |
Barcode: |
9781492062578 |
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