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

NLP has gained popularity, but many teams struggle to build applications that live up to the hype. This hands-on guide helps you get up to speed on the latest trends in NLP, using state-of-the-art models such as BERT and GPT-3 to solve tasks like named entity recognition, text classification, semantic search, and reading comprehension.

Format: Paperback / softback
Length: 350 pages
Publication date: 31 May 2021
Publisher: O'Reilly Media, Inc, USA

The field of Natural Language Processing (NLP) has experienced a remarkable surge in popularity in recent years. While prominent companies like Google, Facebook, OpenAI, and others have continued to release larger language models, many teams still face challenges in building NLP applications that truly live up to the hype. This comprehensive hands-on guide aims to equip you with the latest and most promising trends in NLP, regardless of your level of expertise.

To begin, we will provide a foundational understanding of machine learning and some Python experience. With this knowledge, you will learn how to train and deploy real-world NLP applications within your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai will guide you through the process, utilizing code and examples that showcase the best practices in modern NLP.

By leveraging state-of-the-art NLP models such as BERT and GPT-3, you will gain the ability to tackle a wide range of NLP tasks, including named entity recognition, text classification, semantic search, and reading comprehension. You will learn how to train NLP models that achieve performance comparable to or even superior to out-of-the-box systems, utilizing techniques such as transfer learning and transformer architecture.

Furthermore, you will delve into the tools of the trade, including spaCy, Hugging Face, and fast.ai. These platforms offer powerful tools and libraries for building core parts of the NLP pipeline, including tokenizers, embeddings, and language models. You will have the opportunity to build these models from scratch, utilizing Python and PyTorch, and take them beyond Jupyter notebooks to deploy, monitor, and maintain them in production environments.

Whether you are a data scientist, software engineer, or business professional looking to leverage the power of NLP, this guide will provide you with the knowledge and skills necessary to succeed in this rapidly evolving field. So, why wait? Start your journey into the world of NLP today and unlock the full potential of natural language processing!

Weight: 574g
Dimension: 176 x 232 x 21 (mm)
ISBN-13: 9781492062578