Deep learning with R: by A. Ghatak, Singapore, Springer, 2019, 245 pp., €89.99, ISBN 978-981-13-5849-4.

The article focuses on "Deep Learning with R," a monograph by Abhijit Ghatak that explores the application of deep learning techniques using the R programming language, particularly in the context of natural language processing (NLP). The book provides a comprehensive guide, starting from fundamenta...

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Detalles Bibliográficos
Publicado en:Innovation: The European Journal of Social Sciences Vol. 38; no. 3; pp. 1412 - 1416
Autores principales: Feng, Haoda, Liu, Hongqian
Formato: Book Review
Publicado: Taylor & Francis Ltd Sep2025
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:The article focuses on "Deep Learning with R," a monograph by Abhijit Ghatak that explores the application of deep learning techniques using the R programming language, particularly in the context of natural language processing (NLP). The book provides a comprehensive guide, starting from fundamental concepts of machine learning and neural networks to practical applications in NLP, making it suitable for a wide audience, including novice researchers and experienced engineers. It covers various types of neural networks, optimization algorithms, and practical coding examples, emphasizing the advantages of using R for NLP tasks. The text highlights the book's structured approach and accessibility, making it a valuable resource for those interested in deep learning and AI engineering.