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Natural Language Processing in Practice by Ekaterina Kochmar is a science book available to read on EtoBox.
What is Natural Language Processing in Practice about?
Build custom NLP models in record time by adapting pre-trained machine learning models to solve specialized problems.Summary In Transfer Learning for Natural Language Processing you will learn: Fine tuning pretrained models with new domain data Picking the right model to reduce resource usage Transfer learning for neural network architectures Generating text with generative pretrained transformers Cross-lingual transfer learning with BERT Foundations for exploring NLP academic literature Training deep learning NLP models from scratch is costly, time-consuming, and requires massive amounts of data. In Transfer Learning for Natural Language Processing, DARPA researcher Paul Azunre reveals cutting-edge transfer learning techniques that apply customizable pretrained models to your own NLP architectures. You'll learn how to use transfer learning to deliver state-of-the-art results for language comprehension, even when working with limited label data. Best of all, you'll save on training time and computational costs. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Build custom NLP models in record time, eve
Who reads Natural Language Processing in Practice?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ekaterina Kochmar
- Publisher
- Manning Publications Company; Manning; Manning Publications
- Published
- 2020
- Language
- EN
- ISBN
- 9781638350392
- Category
- science
- Subjects
- Language Learning, Science, Computer Science
- Rating
- 4.3 / 5 (119 ratings)
- Updated
- 2026-03-14
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