Open AccessThesis on Machine Learning Methods and Its Applications
Author(s) -
M S Dharmapriya
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38506
Subject(s) - artificial intelligence , machine learning , computer science , field (mathematics) , big data , computational learning theory , active learning (machine learning) , data mining , mathematics , pure mathematics
In the 1950s, the concept of machine learning was discovered and developed as a subfield of artificial intelligence. However, there were no significant developments or research on it until this decade. Typically, this field of study has developed and expanded since the 1990s. It is a field that will continue to develop in the future due to the difficulty of analysing and processing data as the number of records and documents increases. Due to the increasing data, machine learning focuses on finding the best model for the new data that takes into account all the previous data. Therefore, machine learning research will continue in correlation with this increasing data. This research focuses on the history of machine learning, the methods of machine learning, its applications, and the research that has been conducted on this topic. Our study aims to give researchers a deeper understanding of machine learning, an area of research that is becoming much more popular today, and its applications. Keywords: Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Big Data.