Feb 15, 2025 · Machine learning (ML) plays a crucial role in big data (BD) by serving as the cornerstone of efficient data processing and analysis. In particular, ML provides BD with the ability to extract valuable insights from the large data sets.

Jun 3, 2024 · From batch processing and real-time streaming to interactive querying and machine learning, Big Data processing technologies encompass a diverse array of approaches tailored to meet the unique needs and requirements of different use cases and applications.

May 28, 2016 · In this section, we analyze the relationships between machine learning and SP techniques for big data processing from four perspectives: (1) statistical learning for big data analysis, (2) convex optimization for big data analytics, (3) stochastic approximation for big data analytics, and (4) outlying sequence detection for big data.

machine learning algorithms to work with large datasets: examples are new processing paradigms such as MapReduce [12] and distributed processing frameworks such as Hadoop [13]. Branches of machine learning including deep and online learning have also been adapted in an effort to overcome the challenges of machine learning with Big Data.

Jul 25, 2022 · The article discusses the various machine learning paradigms in plain language & from a technical standpoint, making it easier to understand.

May 10, 2017 · In this paper, we introduce a framework of ML on big data (MLBiD) to guide the discussion of its opportunities and challenges. The framework is centered on ML which follows the phases of preprocessing, learning, and evaluation.

Jan 7, 2014 · This article has provided a comprehensive review of the three generations of tools/paradigms that realize machine learning algorithms for big data: The first-generation tools, which include SAS and SPSS, can help in deep analytics but may only scale vertically.

Apr 24, 2017 · Machine learning (ML) is at the core of the Big Data Revolution because of its ability to learn from data and provide data-driven insights, decisions, and predictions. It promises to transform...

Oct 1, 2015 · In the big data classification section, the machine learning processes, the classification modeling that is characterized by the big data controllers, and the classification algorithms that...

MapReduce pioneered this paradigm change and rapidly became the primary big data processing system for its simplicity, scalability, and fine-grain fault tolerance. However, compared with DBMSs, MapReduce also arouses controversy in processing efficiency, low …