Result: Machine learning algorithms: a background artifact

Title:
Machine learning algorithms: a background artifact
Source:
International Journal of Engineering and Technology; Vol. 7 No. 1.1 (2018): Special Issue 1; 143-149 ; 2227-524X ; 10.14419/ijet.v7i1.1
Publisher Information:
Science Publishing Corporation
Publication Year:
2017
Collection:
Science Publishing Corporation: E-Journals
Document Type:
Academic journal article in journal/newspaper
File Description:
application/pdf
Language:
English
DOI:
10.14419/ijet.v7i1.1.9214
Rights:
Copyright (c) 2018 International Journal of Engineering & Technology
Accession Number:
edsbas.54655919
Database:
BASE

Further Information

With the greater development of technology and automation human history is predominantly updated. The technology movement shifted from large mainframes to PCs to cloud when computing the available data for a larger period. This has happened only due to the advent of many tools and practices, that elevated the next generation in computing. A large number of techniques has been developed so far to automate such computing. Research dragged towards training the computers to behave similar to human intelligence. Here the diversity of machine learning came into play for knowledge discovery. Machine Learning (ML) is applied in many areas such as medical, marketing, telecommunications, and stock, health care and so on. This paper presents reviews about machine learning algorithm foundations, its types and flavors together with R code and Python scripts possibly for each machine learning techniques. Â