SKU/Artículo: AMZ-B094TDK2KW
Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand
Format:
Kindle
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Fuera de stock
Fuera de stock
Peso con empaque:
0.15 kg
0.15 kg
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No
No
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- 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 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 comprehensionTrain NLP models with performance comparable or superior to that of out-of-the-box systemsLearn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by stormBecome familiar with the tools of the trade, including spaCy, Hugging Face, and fast.aiBuild core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorchTake your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production
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