A Breakthrough With Machine Learning in Real-Time Environments

Author:

Gracewell Jeffin1ORCID

Affiliation:

1. Saveetha Engineering College, India

Abstract

Over the past few years, machine learning (ML) has seen potential growth globally and has contributed a huge role in technological advancements. With improved learning mechanisms, the ML algorithms have provided huge breakthroughs and enhancements in solutions for the real-time global challenges that persist. With large amounts of digital data evolving each day, ML algorithms have evolved as the right-to-go approach, to provide technological breaks though by overruling the traditional methods. The chapter aims to briefly review the overview of ML algorithms and highlight the different applications under various segments where ML has contributed to providing breakthrough solutions. The applications that are to be discussed from different segments are healthcare, businesses, government, security, agriculture, industry, and the educational sector. The objective of the chapter is to provide the readers with a better understanding of how ML applications are used in different segments and the advancements it brings to modern technology.

Publisher

IGI Global

Reference12 articles.

1. Automated Expert Modeling for Automated Student Evaluation

2. Plant species identification using color learning resources, shape, texture, through machine learning and artificial neural networks.;D.Bambil;Environment Systems & Decisions,2020

3. An Intelligent Harris Hawks Optimization (IHHO) based Pivotal Decision Tree (PDT) Machine Learning Model for Diabetes Prediction.;R.Fayaz;International Journal of Intelligent Systems and Applications in Engineering,2022

4. Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning

5. Mathematical validation of proposed machine learning classifier for heterogeneous traffic and anomaly detection

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