Artículos relacionados a Deep Learning in Data Analytics: Recent Techniques,...

Deep Learning in Data Analytics: Recent Techniques, Practices and Applications: 91 (Studies in Big Data, 91) - Tapa dura

Libro 84 de 95: Studies in Big Data
 
9783030758547: Deep Learning in Data Analytics: Recent Techniques, Practices and Applications: 91 (Studies in Big Data, 91)
Tapa dura
ISBN 10: 3030758540 ISBN 13: 9783030758547
Editorial: Springer, 2021

Sinopsis

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book’s material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.

Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor


De la contraportada

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.

Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2021
Idioma
Inglés
ISBN 10 
3030758540
ISBN 13 
9783030758547
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
288
Editor
Mitra Anirban, Acharjya Debi Prasanna, Zaman Noor
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Alemania