Natural Language Processing using R Pocket Primer
ISBN: 9781683927303
Pub Date: January 2022
Specs: 6 x 9 Paperback
Pages: 300
Price: $41.95
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
BRIEF TOC
1: Introduction to R. 2: Conditionals, Loops, and Data Frames. 3: Working with Functions in R.
4. NLP Concepts (I). 5. NLP Concepts (II). 6: NLP and R. 7: Transformer, BERT, and GPT. Appendices. Index
ABOUT THE AUTHOR
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, 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).