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Natural Language Processing with Python

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出版日:2025/11/25 作者:Oscar Lira U.  出版社:OUR KNOWLEDGE PUB  裝訂:平裝
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
出版日:2025/10/15 作者:Abhinaba Banerjee  出版社:INGSPARK  裝訂:平裝
定價:1998 元
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Python for Natural Language Processing: Programming with Numpy, Scikit-Learn, Keras, and Pytorch
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出版日:2025/07/11 作者:Pierre M. Nugues  出版社:Springer Nature  裝訂:平裝
定價:3769 元
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出版日:2025/04/30 作者:Madhuri Sahu  出版社:LAP LAMBERT ACADEMIC PUB  裝訂:平裝
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
出版日:2025/04/17 作者:Raymond Lee  出版社:Springer Nature  裝訂:精裝
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
出版日:2024/06/24 作者:Rupesh Kumar Tipu  出版社:LAP LAMBERT ACADEMIC PUB  裝訂:平裝
定價:2880 元
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Python for Natural Language Processing: Programming with Numpy, Scikit-Learn, Keras, and Pytorch
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出版日:2024/05/30 作者:Pierre M. Nugues  出版社:Springer Nature  裝訂:精裝
定價:3769 元
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出版日:2025/10/09 作者:Caspian Lane  出版社:DRAFT2DIGITAL LLC  裝訂:平裝
定價:1100 元
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Natural Language Processing for Developers: Unlocking the Power of Language with Code
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出版日:2025/06/04 作者:Jeffrey Almon  出版社:Independently published  裝訂:平裝
定價:816 元
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出版日:2024/12/17 作者:Mr Ashish Suresh Patel  出版社:HARPERCOLLINS 360  裝訂:平裝
定價:1750 元
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出版日:2024/12/17 作者:Mr Ashish Suresh Patel  出版社:HARPERCOLLINS 360  裝訂:精裝
定價:2750 元
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出版日:2024/03/23 作者:Arvind Kumar Sinha  出版社:MASSETTI PUB  裝訂:平裝
定價:1500 元
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出版日:2024/03/30 作者:Morgan David Sheldon  出版社:Draft2Digital  裝訂:平裝
定價:899 元
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出版日:2024/01/19 作者:Malcolm Sherrington  出版社:PACKT PUB  裝訂:平裝
A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept
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