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Found 4 from your keywords: subject="NATURAL LANGUAGE PROC...
cover
Natural language processing with PyTorch : build intelligent language applica…
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Rao, DelipMcMahan, Brian

Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. 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. Authors Delip Rao and Brian McMa…

Edition
-
ISBN/ISSN
9781491978238
Collation
238 p. ; 24 cm.
Series Title
-
Call Number
004.6782 Rao n
cover
Hands-on large language models : language understanding and generation
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Alammar, JayGrootendorst, Maarten

With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today. Index : page 393-403

Edition
First edition, 2024
ISBN/ISSN
9781098150969
Collation
xix, 403 p. ; 23 cm.
Series Title
-
Call Number
006.35 Ala h
cover
Text analytics with Python : a practical real-world approach to gaining actio…
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Sarkar, Dipanjan

Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem. Text Analytics with Python teaches you both basic and advanced concepts, including text and language syntax, structure, semantics. You will focus on algorithms and techniques,…

Edition
-
ISBN/ISSN
9781484223871
Collation
385 p. ; 24 cm.
Series Title
-
Call Number
006.35 Sar t
cover
Text mining with R : a tidy approach
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Silge, JuliaRobinson, David

Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. You’ll discover how tidy data principles can make text mining easier, more effective, and consistent by employing tools al…

Edition
-
ISBN/ISSN
9781491981658
Collation
178 p. ; 24 cm.
Series Title
-
Call Number
519.5028 Sil t