A Comparative Theoretical and Empirical Analysis of Machine Learning Algorithms

Journal Title: Webology - Year 2020, Vol 17, Issue 1

Abstract

With the explosion of data in recent times, Machine learning has emerged as one of the most important methodical approaches to observe significant insights from the vast amount of data. Particularly, it is witnessed that with the alarming rise in the volume of unstructured data on the world wide web, machine learning algorithms can be applied in a wide number of domains to solve various problems related to understanding humans. At the onset, this paper introduces the field of machine learning, classic learning approaches, and machine learning algorithms. A theoretical comparison study of state of the art algorithms is carried based on their logic, characteristics, weaknesses, strengths, and kind of applications in which these algorithms can be used. The study is expected to help buddy researchers who are in the beginning to work in this area.

Authors and Affiliations

Shailja Gupta, Manpreet Kaur, Sachin Lakra and Yogesh Dixit

Keywords

Related Articles

The Indexing Companion

Indexing is a crucial part of any information retrieval system. It is a challenging task requiring paying attention to many theoretical and practical issues. While the move towards digital information systems and automat...

A Comparative Theoretical and Empirical Analysis of Machine Learning Algorithms

With the explosion of data in recent times, Machine learning has emerged as one of the most important methodical approaches to observe significant insights from the vast amount of data. Particularly, it is witnessed that...

Linked Data and User Interaction: The Road Ahead

The book is an instructive and informative collection of case studies in seven chapters, focusing on “Linked Data” in the context of libraries and other cultural heritage institutions. It is the result of satellite mee...

Improvement of methodical approaches to higher schools' marketing activity assessment on the basis of Internet technologies application

The paper substantiates the necessity of higher schools marketing activity developing on the basis of Internet technologies; suggests the technique of comprehensive assessment of functioning and quality of the site as th...

Open access to scientific knowledge and feudalism knowledge: Is there a connection?

The role of universities and transnational corporations in the circulation of scientific knowledge is considered. If institutions generate, mostly scientific knowledge, trying to facilitate its free circulation, then tra...

Download PDF file
  • EP ID EP687858
  • DOI 10.14704/WEB/V17I1/WEB17011
  • Views 186
  • Downloads 0

How To Cite

Shailja Gupta, Manpreet Kaur, Sachin Lakra and Yogesh Dixit (2020). A Comparative Theoretical and Empirical Analysis of Machine Learning Algorithms. Webology, 17(1), -. https://europub.co.uk/articles/-A-687858