Artificial Intelligence and Deep Learning Applications on Big Data Computing Frameworks
This chapter of the book examines the developing field of deep learning (DL) and artificial intelligence (AI) applications on big data computing frameworks. The most recent developments in AI and DL methods are discussed in this chapter, along with examples of how they are being used in fields, incl...
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
Format: | Buchkapitel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | This chapter of the book examines the developing field of deep learning (DL) and artificial intelligence (AI) applications on big data computing frameworks. The most recent developments in AI and DL methods are discussed in this chapter, along with examples of how they are being used in fields, including healthcare, finance, and transportation. The chapter also covers the importance of big data computing frameworks, including Hadoop, Spark, and TensorFlow, in supporting large-scale AI and DL applications. The authors provide insights into the challenges and opportunities for developing and deploying AI and DL algorithms on big data computing frameworks. This book chapter is intended for researchers, practitioners, and students interested in understanding the intersection of AI and DL with big data computing frameworks. |
---|---|
DOI: | 10.1201/9781032634050-10 |