Natural Language Processing with Java Cookbook : Over 70 recipes to create linguistic and language translation applications using Java libraries

Natural Language Processing with Java Cookbook : Over 70 recipes to create linguistic and language translation applications using Java libraries

Enregistré dans:

Détails bibliographiques
Auteur principal:	Reese, Richard M.. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2019.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Natural Language Processing with Java
par: Reese, Richard M..
Publié: (2015)

Natural language processing with Java : techniques for building machine learning and neural network models for NLP
par: Reese, Richard M..
Publié: (2018)

Natural language processing with Java and LingPipe cookbook
par: Baldwin, Breck.
Publié: (2014)

Natural language processing : Python and NLTK
par: Hardeniya, Nitin.
Publié: (2016)

Python natural language processing
par: Thanaki, Jalaj.
Publié: (2017)

Natural Language Processing Fundamentals : Build intelligent applications that can interpret the human language to deliver impactful results
par: Ghosh, Sohom.
Publié: (2019)

Natural Language Processing Fundamentals for Developers
par: Campesato, Oswald.

Natural Language Processing using R Pocket Primer
par: Campesato, Oswald.

Deep Learning for Natural Language Processing : Solve your natural language processing problems with smart deep neural networks
par: Reddy Bokka, Karthiek.
Publié: (2019)

Python text processing with NLTK 2.0 cookbook : LITE : over 80 practical recipes for using Python's NLTK suite of libraries to maximize your Natural Language Processing capabilities
par: Perkins, Jacob.
Publié: (2011)

Natural language processing and computational linguistics : a practical guide to text analysis with Python, Gensim, spaCy, and Keras
par: Srinivasa-Desikan, Bhargav.
Publié: (2018)

Natural Language Processing and Machine Learning for Developers
par: Campesato, Oswald.

Hands-On Natural Language Processing with PyTorch 1.x : Build smart, AI-driven linguistic applications using deep learning and NLP techniques
par: Dop, Thomas.
Publié: (2020)

Java : data science made easy
par: Reese, Richard M..
Publié: (2017)

Java for data science
par: Reese, Richard M..
Publié: (2017)

Natural Language Processing with Flair : A practical guide to understanding and solving NLP problems with Flair
par: Magajna, Tadej.
Publié: (2022)

Natural language processing with Python quick start guide : going from a Python developer to an effective natural language processing engineer
par: Kasliwal, Nirant.
Publié: (2018)

Hands-On Python Natural Language Processing : Explore tools and techniques to analyze and process text with a view to building real-world NLP applications
par: Kedia, Aman.
Publié: (2020)

Hands-on natural language processing with Python : a practical guide to applying deep learning architectures to your NLP applications
par: Arumugam, Rajesh.
Publié: (2018)

Learning network programming with Java
par: Reese, Richard M..
Publié: (2015)

Learning Java functional programming
par: Reese, Richard M..
Publié: (2015)

The Natural Language Processing Workshop : Confidently design and build your own NLP projects with this easy-to-understand practical guide
par: Chopra, Rohan.
Publié: (2020)

JavaScript JSON cookbook : over 80 recipes to make the most of JSON in your desktop, server, web, and mobile applications
par: Rischpater, Ray (19..-....).
Publié: (2015)

Natural Language Processing with AWS AI Services : Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend
par: M, Mona.
Publié: (2021)

Translation and language : linguistic theories explained
par: Fawcett, Peter.
Publié: (1997)

The Applied AI and Natural Language Processing Workshop : Explore practical ways to transform your simple projects into powerful intelligent applications
par: Sankar, Krishna.
Publié: (2020)

OpenGL 4.0 shading language cookbook : over 60 highly focused, practical recipes to maximize your use of the OpenGL shading language
par: Wolff, David.
Publié: (2011)

Natural Language Processing with TensorFlow : The definitive NLP book to implement the most sought-after machine learning models and tasks
par: Ganegedara, Thushan.
Publié: (2022)

Java hibernate cookbook
par: Prajapati, Yogesh.
Publié: (2015)

BPEL and Java cookbook
par: Laznik, Jurij.
Publié: (2013)

Natural Language Understanding with Python : Combine natural language technology, deep learning, and large language models to create human-like comprehension
par: Dahl, Deborah A..

Transformers for Natural Language Processing and Computer Vision : Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
par: Rothman, Denis.

Getting started with Deep Learning for Natural Language Processing : Learn how to build NLP applications with Deep Learning (English Edition)
par: Patel, Sunil.

Advanced Natural Language Processing with TensorFlow 2 : Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more
par: Bansal, Ashish.
Publié: (2021)

The Role of context in language processing : when and how ?
par: Davies, G.
Publié: (1986)

OpenGL 4 shading language cookbook : over 70 recipes demonstrating simple and advanced techniques fot producing high-qualitu, real-time 3D graphics using OpenGL and GLSL 4.x
par: Wolff, David.
Publié: (2013)

Java 9 concurrency cookbook
par: Gonzalez, Javier Fernandez.
Publié: (2017)

Java data science cookbook
par: Shams, Rushdi.
Publié: (2017)

Moodle JavaScript Cookbook
par: Hole, Alastair.
Publié: (2011)

Object-oriented JavaScript : create scalable, reusable high-quality JavaScript applications and libraries
par: Stefanov, Stoyan.
Publié: (2008)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1