Ankur A. Patel, Ajay Uppili Arasanipalai

Applied Natural Language Processing in the Enterprise (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 336
• Erscheinungstermin: 12. Mai 2021
• Englisch
• ISBN-13: 9781492062547
• Artikelnr.: 72362700

Autorenporträt

Ankur A. Patel is the Vice President of Data Science at 7Park Data, a Vista Equity Partners portfolio company. At 7Park Data, Ankur and his data science team use alternative data to build data products for hedge funds and corporations and develop machine learning as a service (MLaaS) for enterprise clients. MLaaS includes natural language processing (NLP), anomaly detection, clustering, classification, and time series prediction. Prior to 7Park Data, Ankur led data science efforts in New York City for Israeli artificial intelligence firm ThetaRay, one of the world's pioneers in applied unsupervised learning. Ajay Uppili Arasanipalai is an undergraduate at the University of Illinois at Urbana-Champaign and a deep learning researcher. Ajay has worked for a number of top AI companies including FloydHub, Weights & Biases, and Nanonets and has written numerous popular articles on how state-of-the-art deep learning models work. In March 2018, Ajay was invited to speak about accelerated deep learning at Think 2018, IBM's largest annual tech conference. He is currently working on independent research projects related to data augmentation for language models and visualizations for transformer networks.