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Natural Language Processing with Transformers, Rev ised Edition

BuchPaperback
Verkaufsrang12630inEinführungen
CHF97.90

Produktinformationen

If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.
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Details

ISBN/GTIN978-1-0981-3679-6
ProduktartBuch
EinbandPaperback
VerlagO'Reilly
Erscheinungsdatum17.06.2022
Seiten406 Seiten
SpracheEnglisch
MasseBreite 180 mm, Höhe 230 mm, Dicke 22 mm
Gewicht708 g
WarengruppeInformatik
KategorieEinführungen
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Kritiken und Kommentare

Über die Autorin/den Autor

Lewis Tunstall is a data scientist at Swisscom, focused on building machine learning powered applications in the domains of natural language processing and time series. A former theoretical physicist, he has over 10 years experience translating complex subject matter to lay audiences and has taught machine learning to university students at both the graduate and undergraduate levels. Leandro von Werra is a data scientist at Swiss Mobiliar where he leads the company's natural language processing efforts to streamline and simplify processes for customers and employees. He has experience working across the whole machine learning stack, and is the creator of a popular Python library that combines Transformers with reinforcement learning. He also teaches data science and visualisation at the Bern University of Applied Sciences. Thomas Wolf is Chief Science Officer and co-founder of HuggingFace. His team is on a mission to catalyze and democratize NLP research. Prior to HuggingFace, Thomas gained a Ph.D. in physics, and later a law degree. He worked as a physics researcher and a European Patent Attorney.

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