Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems.

Artificial Intelligence (AI) techniques such as machine learning and evolutionary algorithms able to provide more precise, faster, and scalable outcomes in big data analytics. Despite this interest, as far as we are aware there is not any complete survey of various artificial intelligence techniques for big data analytics.

May 10, 2017 · Big data enables ML algorithms to uncover more fine-grained patterns and make more timely and accurate predictions than ever before; on the other hand, it presents major challenges to ML such as model scalability and distributed computing.

Aug 20, 2020 · Machine learning is collecting data, analyzing data, and prediction data for industrial applications. Machine learning learns automatically from the data and behaves accordingly without explicitly programmed. Data analytical is required to evaluate and estimate the benefits of organizational goals.

Machine learning for big data involves using sophisticated computing algorithms and statistical methods to extract information, patterns, and insights from vast and complicated datasets [1].

Sep 1, 2016 · Big Data has great impacts on scientific discoveries and value creation. This paper introduces methods in machine learning, main technologies in Big Data, and some applications of machine...

Aug 14, 2020 · Take a look at how we can derive insights from big data with ML. Plus, some real-life examples that demonstrate how big data and ML can work together.

Jul 23, 2024 · Hence, this chapter discusses several algorithms of ML, to analysis of Big Data. Also, the subset AI like ML algorithms, deep learning algorithms are being discussed here (i.e., to analysis this Big Data for efficient prediction).

Jan 29, 2025 · In the era of exponential data growth, the integration of machine learning algorithms into big data analytics offers promising avenues for enhancing predictive insights across various domains.

Jul 27, 2022 · Spark Machine Learning has extensive capabilities for a variety of ML activities such as regression, grouping, dimension reduction, and extraction of rules.