Volume 20 No 13 (2022)
 Download PDF
THE IMPACT OF MACHINE LEARNING ON HUMAN RESOURCE MANAGEMENT PRACTICE
Dr. Neshat Qamar
Abstract
Human Resources (HR) have been slow to adopt new technologies in the market for machine learning and machine learning relative to other sectors. Machine learning has become very important in human resources, as it can help with staff constraints or learning neural networks that can move away from transparent reasoning in showing that certain conclusions were made. The paper, which discusses machine learning, focuses on how this technology helped fuel the Fourth Industrial Revolution and became a hotbed of global commercial capital competition. Machine learning (ML) will have a significant impact on the development of society as a whole, but it will also have a significant impact on the development of human resource management sectors. HR sectors will be restructured, and labor supply side will need structural reforms to keep up with the increasing intelligence of HR services. Machine learning is used in depth in six modules of Human Resource Management. As an HR practitioner, it is essential to open your mind and learn how to work with machine collaboration to improve the efficiency and quality of HR services. Additionally, machine learning technology can be used to help improve the accuracy and precision of human resource data. Machine learning and machine learning will allow enterprises to discover and use more humane and valuable human resources more effectively
Keywords
Machine learning, Human Resource, Manpower and Technology
Copyright
Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.