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.

This book presents machine learning models and algorithms to address big data classification problems. 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.

Aug 20, 2020 · A machine learning algorithm (MLA) is an approach or tool to help in big data analytics (BDA) of applications. This tool is suitable to analyze a large amount of amount generated by an application for effective and efficient utilization of the data.

May 8, 2024 · 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...

Jan 31, 2018 · Abstract - Big data is a wonderful supply of information and knowledge from the systems to other end-users. However. techniques. Within the ICT sector, as in several different sectors of anal...

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 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).

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.