Natural Language Processing with Pytorch
Build Intelligent Language Applications Using Deep Learning
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If youâ re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.
Delip Rao is the founder of Joostware, a San Francisco based consulting company specializing in machine learning and natural language processing research. At Joostware, he has worked closely with customers from Fortune 500 and other companies to help leaders understand what it means to bring AI to their organization, and translate their product/business vision to an AI implementation roadmap. He also provides technology due-diligence services to VC firms in the Valley. He is also cofounder of the Fake News Challenge, an initiative to bring hackers and AI researchers to work on fact-checking related problems in news. Delip previously worked on NLP research and products at Twitter and Amazon (Alexa). He blogs on NLP and deep learning at deliprao.com Brian McMahan is a research engineer at Wells Fargo focusing on NLP. Previously, he worked on NLP research at Joostware, a San Francisco-based consulting company specializing in machine learning and natural language processing research. He has a PhD in Computer Science from Rutgers University where he built Bayesian and Deep Learning models of language and semantics as they apply to machine perception in interactive situations.
Produktbeschreibung
- Verlag: O'Reilly Media
- Seitenzahl: 254
- Erscheinungstermin: 5. Februar 2019
- Englisch
- Abmessung: 231mm x 179mm x 17mm
- Gewicht: 462g
- ISBN-13: 9781491978238
- ISBN-10: 1491978236
- Artikelnr.: 48031117
Herstellerkennzeichnung
Libri GmbH
Europaallee 1
36244 Bad Hersfeld
gpsr@libri.de
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