Téléchargez le livre : Deep Learning in Data Analytics

Deep Learning in Data Analytics

Recent Techniques, Practices and Applications de

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Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2021-08-11

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Description

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.
Pages
266 pages
Collection
Studies in Big Data
Parution
2021-08-11
Marque
Springer
EAN papier
9783030758547
EAN PDF
9783030758554
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
7926 Ko
Prix
179,34 €
EAN EPUB
9783030758554
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
51886 Ko
Prix
179,34 €

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