Y. Yaswanth, Samala Rohan, Neerudu Anusha, Gali Mohith
{"title":"Machine learning paradigm and application area of deep learning and types of neural network","authors":"Y. Yaswanth, Samala Rohan, Neerudu Anusha, Gali Mohith","doi":"10.33545/2707661x.2023.v4.i1a.60","DOIUrl":null,"url":null,"abstract":"Machine learning and deep learning are rapidly evolving paradigms that are being used to solve a wide range of problems in various application areas. This literature review summary highlights the different types of neural networks and tools used in machine learning, as well as the use cases for deep learning, such as image identification, natural language processing, audio recognition, anomaly detection, and recommender systems. The existing system of machine learning is constantly expanding, with new techniques and architectures being developed to address real world problems. A proposed system for machine learning involves identifying the problem, collecting and preparing data, selecting and training appropriate models, evaluating performance, deploying and monitoring the model, and continuously updating it to improve its accuracy and effectiveness.","PeriodicalId":55970,"journal":{"name":"International Journal of Information and Communication Technology Education","volume":"19 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Communication Technology Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33545/2707661x.2023.v4.i1a.60","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Machine learning and deep learning are rapidly evolving paradigms that are being used to solve a wide range of problems in various application areas. This literature review summary highlights the different types of neural networks and tools used in machine learning, as well as the use cases for deep learning, such as image identification, natural language processing, audio recognition, anomaly detection, and recommender systems. The existing system of machine learning is constantly expanding, with new techniques and architectures being developed to address real world problems. A proposed system for machine learning involves identifying the problem, collecting and preparing data, selecting and training appropriate models, evaluating performance, deploying and monitoring the model, and continuously updating it to improve its accuracy and effectiveness.
期刊介绍:
IJICTE publishes contributions from all disciplines of information technology education. In particular, the journal supports multidisciplinary research in the following areas: •Acceptable use policies and fair use laws •Administrative applications of information technology education •Corporate information technology training •Data-driven decision making and strategic technology planning •Educational/ training software evaluation •Effective planning, marketing, management and leadership of technology education •Impact of technology in society and related equity issues