Cantitate/Preț
Produs

Natural Language Processing with PyTorchlow

Autor Delip Rao, Brian Mcmahan
en Limba Engleză Paperback – 4 feb 2019
The essential concepts of PyTorch and the foundations of a solid understanding of NLP are made accessible to newcomers to the field with this handy guide for developers and data scientists.
Citește tot Restrânge

Preț: 40696 lei

Preț vechi: 50869 lei
-20% Nou

Puncte Express: 610

Preț estimativ în valută:
7793 8429$ 6493£

Carte disponibilă

Livrare economică 20 noiembrie-04 decembrie
Livrare express 05-09 noiembrie pentru 2942 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781491978238
ISBN-10: 1491978236
Pagini: 256
Dimensiuni: 181 x 231 x 14 mm
Greutate: 0.41 kg
Editura: O'Reilly

Notă biografică

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.

Descriere

If you'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.