A Review on Machine Learning and Its Applications

Abstract

Learning is the most important aspect of human intellect and the most fundamental method of acquiring information. Machine learning is the most basic method for making a machine intelligent. Application Data has grown in quantity over the last several decades, necessitating the need to uncover anything that might lead to critical judgments, so deep learning is assisting much in this regard. It's a subset of artificial intelligence that allows machines to learn by experience or example in the same way that people do, and to discover fascinating patterns without having to be programmed. The algorithm is fed data, which is then used to create a model. It can forecast new values using this model. It assists us in locating something unfamiliar to us, which may lead to the discovery of many new experiences. Health, finance, travel, retail, image processing, media and video processing, natural language, computerized trading, automobile, aerospace, manufacturing, or a variety of other areas may all benefit from machine learning. This article presents an overview of machine learning's fundamentals, techniques, including applications in numerous industries.

Authors and Affiliations

Ranjeev Kumar Chopra

Keywords

Related Articles

Practicing LSB Steganography in PCA Transform Field

PCA conversion defines one main stream and two sub-streams for the color of homogenous areas. This subject has led to design some effective algorithms for the processing of colored images such as coloring, changing the c...

Sentimental Analysis of a Sentence

Sentimental examination or assessment mining is a procedure of regular language handling which is utilized to decide the extremity of the content ( i.e, regardless of whether the content is good , negative , or impartia...

Comparison between Multiple Attribute Decision Making Methods through Objective Weighting Method in Determining Best Employee

Multiple Attribute Decision Making (MADM) is a popular method to be selected in numerous studies in solving decision-making cases. Methods like SAW, WASPAS, SMART, and WP are preferred among researchers to be used for ma...

Pre-Processing Phase of Text Summarization Based on Gujarati Language

A text summarization is a technique for the text that is produced from one or more texts, that contain a significant portion of the information in the original text(s), and that is no longer than half of the original tex...

Education Data mining: Perspectives of Engineering Students

Predicting students’ tutorial performance is of nice concern within the higher education system. Data processing are often employed in the next instructional system to predict the students’ tutorial performance. during t...

Download PDF file
  • EP ID EP746632
  • DOI 10.55524/ijircst.2022.10.3.61
  • Views 23
  • Downloads 0

How To Cite

Ranjeev Kumar Chopra (2022). A Review on Machine Learning and Its Applications. International Journal of Innovative Research in Computer Science and Technology, 10(2), -. https://europub.co.uk/articles/-A-746632