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Machine Learning Techniques: A Survey

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Innovative Data Communication Technologies and Application (ICIDCA 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 46))

Abstract

Artificial intelligence (AI) is a technique, which makes machines to mimic the human behavior. Machine learning is an AI technique to train complex models, which can make the system or computer to work independently without human intervention. This paper is a survey on Machine learning approaches in terms of classification, regression, and clustering. The paper concludes with a comparative analysis between different classification techniques based on its applications, advantages, and disadvantages.

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Author information

Authors and Affiliations

  1. Sri Mata Vaishmo Devi University, Katra, India

    Herleen Kour & Naveen Gondhi

Authors
  1. Herleen Kour
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  2. Naveen Gondhi
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Corresponding author

Correspondence to Herleen Kour .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, India

    Jennifer S. Raj

  2. College of Computer Engineering and Sciences, Prince Mohammad Bin Fahd University, Al-Khobar, Saudi Arabia

    Abul Bashar

  3. Purdue Polytechnic Institute, Purdue University, West Lafayette, IN, USA

    S. R. Jino Ramson

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Kour, H., Gondhi, N. (2020). Machine Learning Techniques: A Survey. In: Raj, J., Bashar, A., Ramson, S. (eds) Innovative Data Communication Technologies and Application. ICIDCA 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-030-38040-3_31

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