The role of big data in driving advancements in deep learning: Opportunities, challenges, and future directions
Year: 2024
Type: article
Abstract: The advent of big data has significantly shaped the trajectory of machine learning, particularly in the field of deep learning. The vast amounts of data generated every day across various sectors—from healthcare to finance—have provided unprecedented opportunities for training more powerful and accurate deep learning models. This review paper explores the critical role big data plays in driving advances in deep learning, analyzing how these two fields intersect and fuel each other. The paper also examines the challenges associated with leveraging big data in deep learning, including data quality, scalability, and computational constraints. Finally, the paper discusses future directions in the convergence of big data and deep learning, emphasizing emerging trends and the potential of this intersection to revolutionize industries.
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W6968431504
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