Deep Learning: Convergence to Big Data Analytics

• Κύριοι συγγραφείς: Khan, Murad (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Jan, Bilal (http://id.loc.gov/vocabulary/relators/aut), Farman, Haleem (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Database management.; Artificial intelligence.; Data structures (Computer science).; Big data.; Database Management.; Artificial Intelligence.; Data Structures.; Big Data.

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using...

Πίνακας περιεχομένων:

• Chapter 1. Introduction
• Chapter 2. Big Data Analytics
• Chapter 3. Deep Learning Methods and Applications
• Chapter 4. Integration of Big Data and Deep Learning
• Chapter 5. Future Aspects. .