Natural Language Processing Using R: Pocket Primer

By: Oswald Campesato

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Paperback | 25 February 2022

At a Glance

Paperback
266 Pages

Dimensions(cm)
22.23 x 15.24 x 1.27

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This book is for developers who are looking for an overview of basic concepts in Natural Language Processing using R. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The final chapter presents the Transformer Architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years. Companion files with source code and figures are included.

Features:

Covers extensive topics related to natural language processing using R
Features companion files with source code and figures from the book

About the Author

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, NLP, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Data Science Fundamentals Pocket Primer (all Mercury Learning and Information).

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