Читать книгу Machine Learning Approach for Cloud Data Analytics in IoT - Группа авторов - Страница 13

M. Deepika1* and K. Kalaiselvi2

1Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (Formerly Vels University), Chennai, Tamil Nadu, India

2Department of Computer Applications, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (Formerly Vels University), Chennai, Tamil Nadu, India

Abstract

Artificial intelligence (AI) is a technical mix, and machine learning (ML) is one of the most important techniques in highly personalized marketing. AI ML presupposes that the system is re-assessed and the data is reassessed without human intervention. It is all about shifting. Just as AI means, for every possible action/reaction, that a human programmer does not have to code, AI machine programming can evaluate and test data to replicate every customer product with the speed and capacity that no one can attain. The technology we have been using has been around for a long time, but the influence of machines, cloud-based services, and the applicability of AI on our position as marketers have changed in recent years. Different information and data orientation contribute to a variety of technical improvements. This chapter focuses on the use of large amounts of information that enables a computer to carry out a non-definitive analysis based on project understanding. It also focuses on data collection and helps to ensure that data analysis is prepared. It also defines such data analytics processes for prediction and analysis using ML algorithms. Questions related to ML data mining are also clearly explained.

Keywords: Big data, data analysis, machine learning, machine learning algorithms, neural networks